Podcasts about ai literacy

You do not have to be an AI expert to teach AI literacy. Laura Gray says nobody is one — and points to free, ready-to-teach lessons that work in any subject. SPONSORED: Experience AI, a co-developed program by the Raspberry Pi Foundation and Google DeepMind, sponsored this episode. All opinions are my own and that of the guest. Experience AI is a free AI literacy program with ready-to-teach lessons for ages 8 to 16, in any subject. Laura asked some third graders how a smart speaker works. They told her the question gets recorded and sent to a human being who looks up the answer and speaks it back. Her own four-year-old told her a very short lady lives inside her phone. Children are building theories about these systems whether or not a screen ever comes into your classroom, which is the whole case for teaching this even if you never plug anything in. Laura's advice on the expertise problem is the part I keep repeating: nobody is an expert in AI, so stop trying to be one and start small. In this episode, you'll learn: • Why you are likely already teaching AI literacy in your subject without naming it • How to weave AI into what you already teach without going off track • What this looks like at age eight versus age fifteen, including the unplugged advertisement-detective lesson for younger students • Why anthropomorphizing AI is riskier for children than adults assume • "Discernment instead of skepticism," and why she chose that word on purpose • The crutch test — am I reaching for this because I don't know how? — and what students lose when the answer is yes • Where to start in the free curriculum, and how the lessons are edited and localized by the teachers using them Laura Gray is a Senior Learning Manager at the Raspberry Pi Foundation, where she manages Experience AI across North America. Experience AI is free, available in 20+ languages, has been downloaded more than a million times across over 195 countries, and won the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize for the Use of ICT in Education. Full show notes, resources, and the complete transcript: https://www.coolcatteacher.com/e990 

This week, Scott sat down with his colleagues Lawfare Senior Editors Kevin Frazier and Roger Parloff, and Lawfare Contributing Editor and Vice President of Research, Security and Defense at the Chicago Council on Global Affairs Ariane Tabatabai, to talk through the week's big national security news stories, including:“P(doom) and Gloom.” Last week, a wonky corner of the tech world became national news when Jacob Coxon, a 27-year-old pretraining researcher, resigned from Anthropic and posted a viral thread accusing his employer and its rival OpenAI of racing toward self-improving superintelligence and “gambling with our lives.” His warning was quickly amplified by current Anthropic staff—and, days later, by CEO Dario Amodei himself, who published a lengthy essay urging the industry to slow down, drawing rare public agreement from Sam Altman and Elon Musk, a slide in AI stocks, and fresh calls for regulation in Washington. Is this the moment AI-safety fears finally broke into the mainstream? And should the rest of us be as worried as the people building these systems say they are?“Trains, Planes, and Provocations.” Tensions along NATO's eastern flank are spiking over an increasing number of Russian provocations in and near NATO territory relating to the Ukraine conflict. Recent examples have included an explosives-laden drone at a German airport, another drone shot down in Lithuanian airspace, and repeated incursions into Poland and Romania related to border and port facilities adjacent to Ukraine. NATO Secretary General Mark Rutte pledged to bolster the alliance's defenses and insisted the West won't be “scared” off of supporting Kyiv, even as Polish Prime Minister Donald Tusk warned that the coming months could bring intensified Russian action and possible spillover onto NATO soil. Is this a deliberate campaign by Russia to test and divide the alliance? And how much escalation risk does it actually carry?“Seeking the Plane Truth.” On September 29, the full D.C. Circuit will hear en banc arguments in what may be one of the most consequential rule-of-law fights of Trump's second term: whether Chief Judge James Boasberg may investigate who in the administration defied his March 2025 order to turn around planes carrying Venezuelan men to El Salvador's CECOT prison under the Alien Enemies Act. While Boasberg found probable cause for criminal contempt, panels dominated by Trump appointees have twice blocked him from doing so—with the Justice Department, whose own senior officials are reportedly implicated in some of the relevant discussions, arguing that all a judge may do is refer the matter to the Department itself to decide whether to investigate and prosecute. What is really at stake when the branch accused of contempt gets to decide whether anyone is charged? And how is the full court likely to rule?In object lessons, Kevin is putting the “community” in community college with high praise for the AI Literacy initiative in Alabama. Roger seams to think that the Bayeux Tapestry at the British Museum in London is knot your average exhibit. Scott finds weekend mornings watching Hilda with his kids to be a magical, enchanted adventure. And Ari is decidedly not in the Middle of Nowhere with her love for the new Kacey Musgraves album. To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

This week, Scott sat down with his colleagues Lawfare Senior Editors Kevin Frazier and Roger Parloff, and Lawfare Contributing Editor and Vice President of Research, Security and Defense at the Chicago Council on Global Affairs Ariane Tabatabai, to talk through the week's big national security news stories, including:“P(doom) and Gloom.” Last week, a wonky corner of the tech world became national news when Jacob Coxon, a 27-year-old pretraining researcher, resigned from Anthropic and posted a viral thread accusing his employer and its rival OpenAI of racing toward self-improving superintelligence and “gambling with our lives.” His warning was quickly amplified by current Anthropic staff—and, days later, by CEO Dario Amodei himself, who published a lengthy essay urging the industry to slow down, drawing rare public agreement from Sam Altman and Elon Musk, a slide in AI stocks, and fresh calls for regulation in Washington. Is this the moment AI-safety fears finally broke into the mainstream? And should the rest of us be as worried as the people building these systems say they are?“Trains, Planes, and Provocations.” Tensions along NATO's eastern flank are spiking over an increasing number of Russian provocations in and near NATO territory relating to the Ukraine conflict. Recent examples have included an explosives-laden drone at a German airport, another drone shot down in Lithuanian airspace, and repeated incursions into Poland and Romania related to border and port facilities adjacent to Ukraine. NATO Secretary General Mark Rutte pledged to bolster the alliance's defenses and insisted the West won't be “scared” off of supporting Kyiv, even as Polish Prime Minister Donald Tusk warned that the coming months could bring intensified Russian action and possible spillover onto NATO soil. Is this a deliberate campaign by Russia to test and divide the alliance? And how much escalation risk does it actually carry?“Seeking the Plane Truth.” On September 29, the full D.C. Circuit will hear en banc arguments in what may be one of the most consequential rule-of-law fights of Trump's second term: whether Chief Judge James Boasberg may investigate who in the administration defied his March 2025 order to turn around planes carrying Venezuelan men to El Salvador's CECOT prison under the Alien Enemies Act. While Boasberg found probable cause for criminal contempt, panels dominated by Trump appointees have twice blocked him from doing so—with the Justice Department, whose own senior officials are reportedly implicated in some of the relevant discussions, arguing that all a judge may do is refer the matter to the Department itself to decide whether to investigate and prosecute. What is really at stake when the branch accused of contempt gets to decide whether anyone is charged? And how is the full court likely to rule?In object lessons, Kevin is putting the “community” in community college with high praise for the AI Literacy initiative in Alabama. Roger seams to think that the Bayeux Tapestry at the British Museum in London is knot your average exhibit. Scott finds weekend mornings watching Hilda with his kids to be a magical, enchanted adventure. And Ari is decidedly not in the Middle of Nowhere with her love for the new Kacey Musgraves album. To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute. Hosted on Acast. See acast.com/privacy for more information.

Most AI playbooks are built for a workforce tethered to a desk, but many workers are not near a keyboard. In this episode, Beth Miles, Chief AI Officer at Advantage Solutions, breaks down how she's building an AI-ready culture across a distributed workforce of more than 60,000 teammates. She shares why AI literacy has to start with leadership, why redesigning a broken process matters more than simply automating it, and how she measures AI success well beyond adoption metrics.Key Moments:From Chief of Staff to Chief AI Officer (05:00): Beth explains how her chief of staff role gave her the cross-functional view needed to build Advantage's AI office.Hands-On Keyboards: AI Training in the C-Suite (11:00): Beth breaks down 10+ hours of executive AI training, including a CEO who sat down for a coding workshop.Inside the AI Champions Build Summit (22:00): Over 40 teammates spent five hours building AI use cases together, breaking down silos across functions.Why You Shouldn't Optimize a Bad Process (26:00): Redesigning broken processes before automating them matters more than speed.Adoption Is Step One, Not the Finish Line (31:00): Usage is only step one. Beth points to service excellence and time to complete as the metrics that matter.Key Quotes:“AI can be an accelerant, but you have to have all the mechanics and the process and the data to actually make it run really well.” - Beth Miles“It may require moving slower now to move faster later, to actually redesign and rethink work so you're not optimizing a bad process.” - Beth Miles“ To lead a change, we need to understand it.” - Beth MilesMentions:AI Transformation Requires Redesigning Work, Not Cutting RolesEast of Eden by John SteinbeckShoe Dog by Phil KnightGuest Bio:Beth Miles leads Advantage Solutions' AI strategy, enablement, and governance to drive value for the company's clients and teammates. She drives AI deployment across the enterprise, alongside the Data Office and Growth & Strategy Office. Beth joined Advantage in early 2024 and has served the last year as Chief of Staff, leading the company's AI workstreams from diagnostic through scaled execution, driving enterprise transformation initiatives, and overseeing CEO Office operations.Before Advantage, Beth spent more than a decade leading technology and corporate transformation at global software firms, including senior roles at Sage and Cerner (now Oracle Health). At Cerner, she drove the redesign of Cerner's portfolio management process for their $400m R&D investment. At Sage, she led GTM execution across new revenue streams and managed a large cloud partnership, leading cross-functional teams across governance and delivery. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

What You'll Learn in This Episode:In this episode, Catherine McDonald is joined by Dajana Achelpohl to explore the AI readiness gap. The difference between simply giving people access to AI and actually creating meaningful business value from it. They discuss why organizations can invest in AI tools, licenses, and pilot programs yet still struggle to see measurable results or sustained adoption.Dajana introduces a practical five-question framework organizations can use to assess their AI readiness: Why? How? Who? What if? Then what? The conversation begins with understanding why AI is being introduced and connecting it to real business priorities rather than adopting it simply because everyone else is.They also explore why organizations need to understand how work actually gets done before deciding where AI belongs. That means involving the people closest to the work, identifying bottlenecks and repetitive tasks, and integrating AI directly into workflows instead of treating it as another tool sitting alongside the work.The conversation then turns to the people side of AI adoption, including AI literacy, leadership modeling, ongoing coaching, and giving employees the time and skills they need to become comfortable with new tools. Dajana also explains the importance of preparing for AI mistakes through human oversight, strong data practices, clear governance, and practical AI-use policies.Finally, they discuss why AI adoption is not a one-and-done initiative. Organizations need to continuously learn, gather feedback, reinforce AI use through leadership, and determine what happens after pilot programs if they want AI adoption to stick.Key Takeaways:Having access to AI doesn't automatically create business valueStart with the business problem or opportunity—not the AI toolAI must be integrated into how work actually gets doneSuccessful AI adoption requires bringing people along, building AI literacy, and modeling its use through leadershipLinks:https://stephanieangelo.com/http://www.linkedin.com/in/stephanieangelosphrhttps://www.findleansolutions.com/summit-2026/https://www.findleansolutions.com/

Curtis Wright was born in Edmonton, built a life in Texas, and just spent nine months in ICE detention before being deported to Canada over a decades-old conviction from when he was 17. He joins us (3:30) to talk about what happened inside detention, the devastating impact of being separated from his children, and what his experience says about the human cost of America's immigration crackdown. Feature interviews on Real Talk are presented by Mercedes-Benz Edmonton West.  THIS EPISODE IS PRESENTED BY RapidEX FINANCIAL. THE CRYPTO WORLD MOVES FAST, AND YOUR TRUST IN AN EXCHANGE SHOULDN'T BE A GAMBLE. RapidEX IS SECURE, FINTRAC-REGISTERED, AND NON-CUSTODIAL. SAVE 50% ON FEES ON ONLINE INTERAC E-TRANSFER TRADES WITH PROMO CODE RYAN50 AT https://rapidexfinancial.com/. MBEW: https://www.mercedes-benz-edmontonwest.ca/ GET YOUR "PROUDLY ALBERTAN. FIERCELY CANADIAN." HOODIES BEFORE THEY SELL OUT (AGAIN): https://ryanjespersen.com/merch 41:30 | The iconic Fairmont Jasper Park Lodge just landed on a very exclusive list. We celebrate the JPL's inclusion on National Geographic's Best 20 New Hotels in the World in this edition of #MyJasper Memories presented by our friends at Tourism Jasper. PLAN YOUR NEXT JASPER ADVENTURE: https://www.jasper.travel/ 45:20 | Ottawa's partnering with the Alberta Machine Intelligence Institute (Amii) on a new National AI Literacy Initiative. Why does this matter to you? We find out from Amii CEO Cam Linke.  AMII: https://www.amii.ca/ 1:07:30 | A Calgary-based company is using knowledge, infrastructure, and expertise from the energy industry to produce battery-grade lithium from brines deep below. Real Talker Sarah shares the story of E3 Lithium in this edition of Alberta Wins presented by Play Alberta.  PLAY ALBERTA IS THE ONLY APP IN THE PROVINCE THAT PUTS ALL REVENUE DIRECTLY BACK INTO SUPPORTING PROGRAMS AND SERVICES THAT ALBERTANS RELY ON EVERY DAY. LEARN MORE AT https://try.playalberta.ca/lp/realtalk/ 1:12:00 | Real Talkers share their thoughts on AI, good and bad, in our Live Chat powered by Park Power. SAVE on INTERNET, ELECTRICITY, and NATURAL GAS: https://parkpower.ca/realtalk/ REAL TALK'S LIVE STREAM IS PRESENTED BY CALIFORNIA CLOSETS. BOOK YOUR FREE CONSULTATION: https://californiaclosets.ca/ REAL TALK HIGHLIGHTS ARE PRESENTED BY KUBY ENERGY AND CANADIAN GREEN TECH, YOUR TRUSTED SOLAR PROVIDERS. LEARN MORE AT https://kuby.ca/ or in-store at Costco. SIGN UP for YEGplus, CANADA'S FIRST AIRPORT REWARDS PROGRAM: https://yegplus.com/realtalk SAVE 10% on ONLINE MEN'S CLOTHING PURCHASES at THE HELM with promo code REALTALK: https://thehelmclothing.com/ FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersen THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

In Episode 23 of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom is rejoined by Greg Freeman, CEO & Founder at Data & AI Literacy Academy, where they discuss why most organisations have mistaken tool training for AI literacy – and why a data-literate workforce, critical thinking and the willingness to rebuild processes from the ground up matter far more than knowing which buttons to press in Copilot.They also explore why data quality and governance are finally having their day in the sun, how leaders must role-model the discipline to challenge AI-generated work, and why the businesses winning with AI focused on four or five core processes rather than spinning up 95 pilots.They also discuss:Why the line between data literacy and AI literacy is blurry, and why Greg wants it to stay that way.Why a data-literate workforce is the enabler of an AI-ready workforce.Why data quality, governance and risk management have gone from "not that sexy" to the most important topics in the business.Why there isn't a Copilot buttonology programme in the world that can teach critical thinking.How AI slop is bleeding from LinkedIn into the work employees put in front of internal and external audiences.Why leaders must ask pointed questions of AI-enabled work to test whether the human in the loop has actually done their job.Why people treat LLMs like Google, and why that makes them less able to challenge the answers.What separates the asker, the conversationalist and the process redesigner, and why 98% of employees are still stuck at the first stage.Why leaders need the mindset to burn processes down and rebuild them with AI at the core, rather than layering it on top.Why enterprise learning conflates training with education, and why that is the root of the tool-centric problem.How hyperscalers and training partners are incentivised to teach the tool rather than transferable principles.Why a workforce using Copilot instead of Google is an expensive thing, not a useful thing.Why generative AI gives executives a hands-on "aha moment" that dashboards never did.Why nine out of ten AI conversations mean generative AI, and what that costs organisations in forecasting, decisioning and recommendation opportunities.Who should own the operating model conversation with the board, and why it depends on having the right kind of data and AI leader.Why cutting headcount and graduate intake is the wrong reason to do AI, and why AI-native graduates are the hires to make.What the US market's shift from 95 pilots to four or five core use cases teaches UK businesses.How democratising AI capability into local teams frees the central team to focus on the big wins.Why customer-facing AI use cases remain a minority, and what Lloyds Bank gets right.How to measure AI literacy by whether people see and solve business problems differently.

New York City is restricting AI across public schools, including a one year ban for students through eighth grade and new limits on screen time for younger students. WNYC and Gothamist education reporter Jessica Gould explains why the city reversed its earlier approach, where AI will still be allowed for high school students and teachers, and the challenges schools face enforcing the rules once students leave the classroom. The episode also hears from New Yorkers about whether the city is getting the balance right.Got any questions, comments or story ideas? Send us a message at NYCNow@WNYC.org.Photo: Ed Reed/Mayoral Photography OfficeNotes:NYC public schools to ban AI for teaching students below 9th grade Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Carolyn Woodard covers three threads in nonprofit AI news this week: new funding questions, a  look at how AI is showing up for kids heading back to school, and a new advocacy group taking on AI regulation.Coefficient Giving, formerly Open Philanthropy, just announced it's raising its global health commitment from 175 million to 1 billion, betting that AI wealth will flow into philanthropy as OpenAI and Anthropic move toward going public. Their first grant is funding bed nets in the Democratic Republic of the Congo. Last week Carolyn mentioned the Bridgespan and NTEN report and one state  on her mind: 69% of nonprofits surveyed reported zero AI funding of any kind, even as nearly all of them are experimenting with the tools.In other news, Meta will pay 17 to 18 billion across the states to curb youth social media addiction, bringing new limits like daily time caps and night mode. In addition to teen social media use, data from Common Sense Media's Youth AI Safety Census shows 86% of kids 9 to 17 have used AI, 72% of teens have used an AI companion, and nearly half of surveyed kids have never talked with a parent about AI safety. With over 100 state bills in play and most AI rules still left up to individual teachers, she discusses what this patchwork will mean for nonprofits working in education, youth development, and mental health.Finally, Carolyn covers a new advocacy group, Irreplaceable, born out of the climate organizing world, that launched this week to apply decades of environmental organizing lessons to AI regulation specifically. In recent polling 75% of Americans oppose local data centers, and 70% think AI is moving too fast.Resources:Increasing Our 2026 Allocation to GiveWell's Recommendations to $1 Billion – Coefficient Giving – https://coefficientgiving.org/research/increasing-our-2026-allocation-to-givewells-recommendations-to-1-billion/Coefficient Giving Boosts Pledge to $1 Billion, Banking on an AI Windfall – Chronicle of Philanthropy (paywalled/metered) – https://www.philanthropy.com/news/coefficient-giving-boosts-pledge-to-1-billion-banking-on-an-ai-windfall/Choosing Your AI Path: A Framework for Nonprofit Leaders to Make Strategic Choices – Bridgespan/NTEN – https://www.bridgespan.org/insights/choosing-your-ai-path-a-framework-for-nonprofit-leaders-to-make-strategic-choicesWhere Does Your Foundation Stand on AI? The AI Journey Map for Philanthropy – Project Evident – https://projectevident.org/news/where-does-your-foundation-stand-on-ai-introducing-the-ai-journey-map-for-philanthropy/Meta, States Agree to $17 Billion Settlement in Child Safety Trial – NPR – https://www.npr.org/2026/08/26/nx-s1-5944781/meta-settlement-child-safety-lawsuitAdults Have Struggled to Set Rules for AI in School. These Teens Figured It Out – NPR (Cory Turner) – https://www.houstonpublicmedia.org/npr/2026/07/30/nx-s1-5853571/adults-have-struggled-to-set-rules-for-ai-in-school-these-teens-figured-it-out/The Common Sense Media Census: AI Use by Tweens and Teens (2026) – Common Sense Media – https://www.commonsensemedia.org/research/a-comprehensive-report-on-teens-tweens-and-aiIn the US, Caution Rules on AI Ahead of K-12 School Year – Tech Policy Press – https://www.techpolicy.press/in-the-us-caution-rules-on-ai-ahead-of-k12-school-year/How AI Is Changing Education – Here & Now (WBUR/NPR, Matt Barnum, Chalkbeat) – https://www.wbur.org/hereandnow/2026/06/15/ai-educationCould Artificial Intelligence Improve Special Education? – Consider This from NPR – https://www.npr.org/2026/05/20/nx-s1-5828907/could-artificial-intelligence-improve-special-educationFrom AI Policies to AI Literacy in Education – Forbes (Heather Wishart-Smith) – https://www.forbes.com/sites/heatherwishartsmith/2026/05/20/from-ai-policies-to-ai-literacy-in-education/AI Is Eliminating Entry-Level Jobs. Education Needs to Fill the Gap – Fast Company – https://www.fastcompany.com/91552415/ai-is-eliminating-entry-level-jobs-education-needs-to-fill-the-gapAI Is Routine for College Students, Despite Campus Limits – Gallup (Lumina Foundation-Gallup 2026 State of Higher Education Study) – https://news.gallup.com/poll/704090/routine-college-students-despite-campus-limits.aspxOpenAI's Postmortem Recasts the Hugging Face Breach as an Incident Response Failure – IANS Research – https://www.iansresearch.com/resources/all-blogs/post/security-blog/2026/08/28/openai's-postmortem-recasts-the-hugging-face-breach-as-an-incident-response-failureMake AI Companies Criminally Liable for Preventable Harm – Tech Policy Press – https://www.techpolicy.press/make-ai-companies-criminally-liable-for-preventable-harm/The AI Backlash Gets Professional – The Atlantic (Matteo Wong) – https://www.theatlantic.com/technology/2026/08/irreplaceable-climate-activists-ai-backlash/688404/Irreplaceable – new nonprofit fighting for AI regulation - irreplaceable.org _______________________________Start a conversation :)Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/email Carolyn at cwoodard@communityit.comon LinkedIn on reddit/r/nonprofitITmanagementon the Community IT websiteThanks for listening. 

As Québec classrooms head back to school, we kick off a new season of ShiftED with Dr.Adam Dubé of McGill's Technology, Learning & Cognition Lab. We talk about what technology actually changes about learning, how children experience AI, and what years of EdTech research can teach us about today's AI moment. From educational games and apps to generative AI, Adam challenges us to look beyond the hype—and ask a better question: when does technology actually help someone learn?https://www.mcgill.ca/education/adam-dube

Stay informed on current events, visit www.NaturalNews.com  - Interview Decision and Upcoming Content (0:11) - First Green Electric Skid Steer (2:15) - Unbreakable Course Launch (3:44) - RT Interview on AI and Open Source (6:32) - AI and Medical Ignorance (16:52) - Open Source AI and Decentralization (23:09) - Challenges of AI Adoption (33:22) - AI Literacy and Future Trends (33:38) - Open and Closed AI Models (33:53) - AI and the Future of Work (34:10) - Fine-Tuning AI Models (34:30) - Open vs. Closed Source AI Models (34:49) - Economic and Technical Advantages of Open Source AI (85:39) - AI's Understanding of Physics and Self-Improvement (88:12) - AI's Capabilities and Future Prospects (90:43) - AI's Impact on Various Industries (92:44) - Final Thoughts and Future Prospects (95:42) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

On this episode of In AI We Trust?, EqualAI President and CEO Miriam Vogel speaks with Paula Goldman, Salesforce's Chief Ethical and Humane Use Officer and EVP of Product. In anticipation of Paula's forthcoming book Manage the Machine: How to Harness Human AI Collaboration at Work, they discuss how AI can be designed and used in a way that centers and strengthens human judgment and human connection. The end goal is to expand accessibility and improve people's experiences across domains, including HR, customer service, and marketing. 

AI for payroll is reshaping the profession but failed implementations reveal what truly matters. In this episode of @thepayrollpodcast, Nick Day, CEO of JGA Recruitment, sits down with Raju Chauhan, explore why payroll compliance and management require human judgment, what automation gets wrong, and how payroll professionals evolve into strategic oversight roles. Essential for anyone navigating payroll implementation in the AI era and building a resilient careerThis is not just another AI hype conversation. It is a grounded, practical look at where the technology genuinely helps and where it quietly creates risk.Nick and Raju explore why AI does not fix broken payroll processes but exposes them, how AI can act as a structured thinking partner without replacing critical thought, and why safeguarding personal and payroll data has become the single biggest risk facing leaders today.They also cover the real difference between adoption and AI literacy, practical starting points for leaders who feel behind, and why automating the most repetitive manual tasks first is the smartest place for any payroll team to begin.It is not about replacing payroll professionals.It is about revealing where payroll needs to evolve.And those are two very different things.Whether you are just starting to explore AI or already rolling it out across a global payroll function, this episode is an honest, practical look at how to do it without losing the discipline payroll depends on.This episode is sponsored by DeelManaging a global team is complex, Deel makes it simpler with payroll, HR, IT, and compliance all in one place. That's why over 35,000 businesses trust Deel to hire, pay, and manage their teams worldwide.See how Deel works at www.deel.com/nickdayGuest and Host:Connect with Raju Chauhan: https://www.linkedin.com/in/rajuchauhan40/Connect with Nick Day: https://uk.linkedin.com/in/nickdayFind your ideal payroll candidate with our job vacancy system: https://jgarecruitment.ck.page/919cf6b9eaSign up to the Payroll Podcast Newsletter: https://jgarecruitment.ck.page/23e7b153e7Stay tuned for the next episode of The Payroll Podcast, brought to you by Nick Day, CEO at JGA Recruitment, landing soon!Enjoyed this? Check out our sister podcast @thehrldpodcast for more great content!Timestamps:(00:01) Introduction: Is AI Coming for the Payroll Profession?(02:15) What Payroll Really Means: Creating Smiles Behind Every Payslip(06:52) Raju's First Encounter with AI: From ChatGPT to Real Payroll Tools(12:31) Getting Started: Where Payroll Leaders Should Begin with AI(14:27) Overcoming the Two Biggest Fears About AI in Payroll(18:24) The Real Risk: Data Safeguarding and AI Literacy(21:55) How AI Became Raju's Thinking Partner, Not His Idea Generator(26:13) Can AI Actually Improve the Employee Experience?(29:38) Shortcut or Discipline? What Recruitment Teaches Payroll About AI(35:39) Bad Data In, Bad Data Out: Why Structured Prompting Matters(40:00) Automation Priorities and the Future of Payroll in an AI World(44:09) Payroll Vault: Career Advice, Data Risk, and Predictions

It’s Party For Two, and Jerry is joined by Bob Richardson, NEWSTALK 1010 contributor and public affairs consultant, to break down the top stories of the day. Next, Jerry speaks with John Wright, veteran pollster and CEO of Canada Pulse Insights, about new Toronto mayoral polling showing support for Olivia Chow growing. They discuss when polling numbers start to matter, how early data shapes campaigns, and when polls become a reliable indicator of the race. Schools are starting to teach AI literacy, helping kids understand how chatbots work and more importantly, where they fail. He speaks with Francis Syms, Head of the School of Clean Energy and Associate Dean at Humber Polytechnic, about what AI literacy looks like in classrooms. It's Friday! Which means today is Touchdowns and Fumbles with Bob Reid, Principal at Broadway Strategy & Communications. They break down the week’s political wins and missteps.

SummaryKate Meyers and Nicole Davis, AKA Two Maine Teachers and authors the EduProtocol Field Guide: AI Literacy Edition, discuss AI, AI in schools, AI for teachers, and AI for literacy for students.Show NotesLinkedIn: two-maine-teachersFacebook: FacebookWebsite: twomaineteachers.comBook: The EduProtocol Field Guide AI Literacy Edition This podcast sponsored by:The Bell Ringer, a weekly newsletter providing news, tools, and resources on the science of learning, written by education reporter Holly Korbey. Subscribe here. 

Keito Ochi is a Japanese interdisciplinary polymath, AI anthropologist, and entrepreneur, working in the fields of artificial intelligence, psychology, public policy, international relations, and emerging technologies.Keito is the Co-founder and Chief Executive Officer of The High Bridge Institute, where he leads research and advisory initiatives focused on AI, decision intelligence, blockchain, organizational design, and interdisciplinary innovation. Keito is also the creator of PAI (Psychometric AI), an AI-mediated psychometric assessment platform designed to model unconscious decision-making structures by integrating established research in implicit cognition, attachment theory, developmental psychology, and somatic psychology.Read more about Keito Ochi: https://businessabc.net/wiki/keito-ochiKeito Ochi Interview Questions00:00 - Intro03:16 - Background05:54 - The Japanese culture11:21 - Innovation & Governance in Japan18:50 - DEMPA!25:16 - Network of Manga artists30:37 - The Japanese Business ecosystem35:56 - AI in Japan43:43 - PAI: Psychometric AI53:41 - Quantifying unconsciousness01:03:46 - High Bridge Institute01:10:32 - AI Literacy & AI Inclusiveness01:12:27 - Advice for Leaders01:19:29 - Anime Manga AI01:22:22 - Closure#futureofai #humanaiconnection  #aiinnovation #japaninnovation #anime #artitificialgeneralintelligence #psychometricaiUseful Links and Resourceshttps://www.dempa-ai.com/https://www.linkedin.com/in/keito-ochi-80386139/https://profilerai.io/en/about/https://x.com/kevinclone3About businessabc.nethttps://www.businessabc.net/About citiesabc.comhttps://www.citiesabc.com/​​​​​​​​​​​ About Dinis Guardahttps://www.dinisguarda.com/https://businessabc.net/wiki/dinis-guardaBusiness Inquiries- info@ztudium.comSupport the show

Artificial intelligence is no longer just a big tech conversation. For small businesses, microbusinesses, makers, solopreneurs, and entrepreneurs, AI literacy is quickly becoming a practical economic development issue.  In this episode of Develop This!, Joi Cuartero Austin talks with Tasha Sams, Director of Education at Main Street America, about what AI literacy really means for local businesses and why it matters for Main Street communities. The conversation explores how AI can help entrepreneurs build capacity, save time, strengthen marketing, improve operations, and make more informed decisions, especially for business owners who are often wearing every hat themselves.  But this conversation is not about automating everything. Joi and Tasha also explore the rise of analog and low-tech business concepts, from vinyl cafes and record shops to video rental stores, bookstores, and other experience-based businesses and what that resurgence tells us about the value of human connection, curation, memory, and place.  The episode makes the case that the future of small business may not be AI versus analog. It may be high-tech behind the scenes and deeply human at the counter.

This is the third episode in our new segment as part of our Coaching Transformation Series - The AI-Ready Learning Leader Series. This conversation is hosted by Dario Minaya, with insights from Susan Minaya, COO, Leadership Strategist and Executive Coach with Minaya Learning Global Solutions. This episode dives into Building AI Capability Through Real-World Practice Stay tuned to learn more.

Send us Fan Mail27 States Are Writing AI Rules for Your Kid's School. I Run One. Here's What They're All Missing.    Twenty-seven states have active AI-in-education bills in 2026. Five are already law. Ohio's House Bill 96 required every public, community, and STEM school district in the state, more than 600 of them, to adopt a formal board-approved AI policy by July 1, 2026. California released a statewide model AI policy for districts on June 25. Virginia's law took effect July 1. And on August 5, the Florida State Board of Education takes up a rule that would require public and charter schools to address artificial intelligence in their internet safety policies.    M.A. Aponte is the Executive Director of a charter school in Gainesville, Florida. That Florida rule governs his building.    So this is not policy analysis from the outside. This is a practitioner explaining what happens when a mandate lands on a real school: what he has to tell teachers, how he answers parents, and what he does when a student turns in an essay a machine wrote.    His concern is simple and uncomfortable. A mandate produces a document. It does not produce a change in practice. And if districts confuse those two things, the next two years will be spent celebrating paperwork while nothing improves for a single student.    WHAT THIS EPISODE COVERS    The full national map of school AI legislation, including Ohio's July 1 deadline, California's model policy, Idaho's AI literacy standards, Oklahoma's parental opt-out provision, Maryland Senate Bill 720 requiring teacher professional development, Connecticut's AI instruction mandate, and South Carolina House Bill 5253, which would establish the strongest guardrails in the country.    What is happening in Florida specifically, including the Department of Education's internet safety directive, the August 5 State Board workshop, and the AI Bill of Rights that passed the Florida Senate 37 to 1 before dying in the House.    The strongest argument against moving this fast. MIT professor Justin Reich has said that writing a guide for AI in 2026 is like writing a guide for aviation in 1905, before there were airlines, airports, or commercial flight. Aponte takes that seriously and explains where he lands anyway.    The four things most school AI policies get wrong:  1. They regulate tools instead of teaching thinking. The real question is not whether a student used AI. It is whether AI helped them think or thought for them.  2. They assume detection works. AI detection tools flag authentic student work at rates that make them unusable as the basis for a disciplinary finding.  3. They do not fund the training. Teachers repeatedly report having to navigate AI entirely on their own.  4. They confuse having a document with having made a change.  RESOURCES    Free AUDIT Framework worksheet, including a parent version with five questions to bring to a school board meeting: maaponte.substack.com    School AI policy consulting and advisory services: link in description.    Sources cited include the FutureEd 2026 State AI in Education Legislative Tracker, Stateline, the California Department of Education, the Florida Department of Education, the OECD Digital Education Outlook 2026, UNESCO, and research from the University of Florida Education Policy Research Center.FREQUENTLY ASKED QUESTIONS Q: Which states require schools to have an AI policy in 2026?  A: As of mid-2026, 27 states have active AI-in-education bills and five have enacted laws. Ohio House Bill 96 required every public, community, and STEM school district to adopt a board-approved AI policy by July 1, 2026. Idaho requires districts and charter schools to create AI policies and ensures AI cannot replace a human teacher. Oklahoma requires age-appropriate AI tools, teacher review of AI output, and parental opt-out. Maryland Senate Bill 720 requires state-provided teacher professional development on AI. Virginia Senate Bill 394 directs its education department to issue guidance. Connecticut mandated AI instruction. California released a model AI policy for districts on June 25, 2026.    Q: What should a school AI policy include?  A: According to the AUDIT framework developed by charter school director M.A. Aponte, an effective school AI policy must address five areas. Assumptions: does it reflect how students actually use AI, including gradual over-reliance rather than only deliberate cheating. Usability: can a teacher apply it in real time without stopping instruction. Detection: does it acknowledge that AI detection software produces false positives, and does it rely on process artifacts and oral defense instead. Instruction: does it teach AI literacy rather than only restricting tools. Training: is there a funded, dated, ongoing professional development plan for teachers.    Q: Is Florida requiring schools to have an AI policy?  A: The Florida Department of Education has directed school districts to add artificial intelligence use to their existing internet safety policies. A rule development workshop was held June 22, 2026, and the Florida State Board of Education scheduled a workshop for August 5, 2026 on a proposed rule requiring public and charter schools to include AI in their internet safety guidelines. Separately, Florida's proposed AI Bill of Rights, which would have restricted student access to AI instructional tools before sixth grade, passed the Florida Senate 37 to 1 but died in the House.    Q: Do AI detection tools work in schools?  A: AI detection tools produce false positives at rates that make them unreliable as the basis for academic dishonesty findings, flagging authentic student work as AI-generated. Education leaders recommend assessment design strategies instead of detection strategies: requiring drafts and revision history, conducting device-free in-class writing, and asking students to orally defend submitted work. A student who wrote the work can explain their reasoning. A student who outsourced it cannot.    Q: What questions should parents ask their school about AI?  A: Five questions. Does our school have an AI policy, and can families read it? Has a classroom teacher reviewed it for whether it is usable during instruction? What happens if a student is wrongly accused by AI detection software? What are we teaching students about AI, not just what are we forbidding? When are teachers trained on this, how often, and who pays for that time? If a school cannot answer the last question, that is the gap that determines everything else.    Q: Why do most school AI policies fail?  A: Four reasons. They regulate tools instead of teaching thinking, so they cannot distinguish between a student using AI to learn and a student using AI to avoid learning. They assume detection is possible when detection software is unreliable. They do not fund teacher training, leaving educators to navigate AI on their own. And they confuse producing a compliant document with changing classroom practice. A mandate produces a document. It does not produce a change in practice. Support the showAbout the host: M.A. Aponte is a former JPMorgan banker, former Merrill Lynch wealth manager, former NYPD officer, Army Officer, and Executive Director of a Charter School in Florida. He is the author of The Logical Mind and host of Thinking 2 Think. Join My Substack for more content: maaponte.substack.comConsulting/Advisory Services: MAAponte.comProfessional LinkedIn Page: www.linkedin.com/in/maaponteFinancial Budget/Wealth Management app (FREE): https://centsora.com/CHECK OUT OUR NEW CRITICAL THINKING GAME APP! Currently in BETA: Android: https://play.google.com/store/apps/details?id=com.base692af669b00f0dc8d8ad6653.appWeb: https://play.google.com/apps/testing/com.base692af669b00f0dc8d8ad6653.app*Coming soon to Apple Store

The same students who say college costs too much are overwhelmingly saying it was worth it, and that contradiction is the key to the entire public confidence debate. In Gallup-Lumina polling cited in this episode, 93 percent of bachelor's students called their degree a worthwhile investment. The doubt is about price, not the education, and generative AI has raised the stakes for confusing the two. In this episode of the Changing Higher Ed® podcast, Dr. Drumm McNaughton speaks with Dr. Christa Acampora, philosopher and Dean of the College and Graduate School of Arts and Sciences at the University of Virginia, where she is leading the integration of AI into the curriculum, about the purpose of liberal arts education in the age of AI. Acampora argues that the purpose of higher education is human formation, making people capable of authoring their own lives and helping to govern a free society, with preparation for good work as part of that purpose rather than a substitute for it. She and McNaughton separate the public's doubts about cost from the question of value, and discuss how UVA is making student formation visible through its first-year learning experience, the Commonplace Book, and an AI Literacy and Action Lab. Topics Covered Why the public's doubts about a degree center on price and debt, a different question from whether the education was worth doing What AI's capacity to produce competent outputs reveals about what higher education has rewarded World Economic Forum survey findings discussed in the episode on redesigning work and finding people with judgment who can adapt Whether institutions that teach students how to think are helping students recognize that learning in themselves UVA's first-year course sequence built around big human questions, the Commonplace Book, and the AI Literacy and Action Lab How students describe their own use of AI and their concerns about evaluating its outputs Three Key Takeaways for Higher Education Leaders Reframe the case for higher education around formation, for the individual and for society, rather than transferable skills that machines can now perform. Keep cost and value separate: address cost and price transparency directly, and make the value case with confidence, not apology. Make formation visible early and often through pedagogy and instruments that let students see their own growth. This episode offers perspective for presidents, provosts, and board members on articulating and demonstrating the value of a liberal education as AI capabilities continue to change. Read the transcript: https://changinghighered.com/purpose-of-liberal-arts-education-in-the-age-of-ai/] #HigherEducation #LiberalArts #ChangingHigherEdPodcast

AI isn't failing. AI literacy is. Nearly half of CEOs say their AI investments are breaking even at best. In this episode of ThinkCast, Gartner Distinguished Vice President Analyst Mandi Bishop explains why the biggest barrier to AI value isn't the technology — it's people's ability to work effectively with it. Learn how critical thinking, prompt discipline and AI literacy can improve adoption, reduce risk and unlock better business outcomes.   You'll learn: Why AI literacy — not more AI tools — is the foundation for AI success How prompt discipline can improve output quality and reduce AI costs The critical thinking skills employees need to work effectively alongside AI Practical steps leaders can take to drive sustained AI adoption and value   Dig deeper: Become a client to learn more about AI literacy Attend a Gartner CIO Conference near you See why Gartner is the world authority on AI  

In this episode of the Edufuturists podcast, Ben gets to sit down with AI pioneer and award-winning school leader Matthew Wemyss to unpack what AI literacy actually looks like when you stop treating it as a bolt-on subject and start building it into lessons teachers are already planning.Guest introMatthew Wemyss is Assistant School Director at the Cambridge School of Bucharest, a former Edufuturists AI Pioneer award winner, and founder of the AIDucation conference. He's the author of AI guides for teachers, students and (soon) parents, and creator of the AI Lit Kit - a tool that maps AI literacy activities directly onto existing lesson plans and curriculum standards.We cover:- Life inside a British international school in Bucharest and what makes international school culture different- Growing the AI Education conference from three workshops to hundreds of attendees, and what's next for 2027- Writing AI guides for teachers, students and now parents and why the tools change but the principles don't- Inside the AI Lit Kit: turning existing lesson plans into AI literacy opportunities without adding a new initiative- Navigating the EU AI Act, evolving deepfake definitions, and what schools are legally responsible for- Why "just try it and see what breaks" beats waiting for permissionWhy listenIf you're a school leader, teacher or parent trying to work out how AI literacy, compliance and everyday classroom practice actually fit together, without piling another initiative onto an already packed calendar, this conversation gives you a practical, grounded way to think about it, from someone living the compliance side and the classroom side at once.Chapters00:00 Highlights01:53 Welcome and Edufuturists updates03:59 Matthew's route into teaching09:03 Life in a British international school in Bucharest20:29 Building the AI Education conference25:53 Writing AI guides for teachers, students and parents30:36 Inside the AI Lit Kit38:30 Is AI illiteracy the real problem?42:39 EU AI Act, deepfakes and AI governance in schools49:34 Quick-fire questions53:12 Wrap-up and what's nextGrab a copy of Matthew's new AI book (which he wrote with Ben!)Check out all about EdufuturistsWant to sponsor future episodes or get involved with the Edufuturists work?Get in touchGrab your copy of the new Pick 'n' Mix Education bookJoin the Wolfpack - our annual membership

This is the first episode in our new segment as part of our Coaching Transformation Series - The AI-Ready Learning Leader Series. This conversation is hosted by Dario Minaya, with insights from Susan Minaya, COO, Leadership Strategist and Executive Coach with Minaya Learning Global Solutions. This episode dives into the shift from AI Literacy to AI Capability.Stay tuned to learn more.

In this episode, Christa Hill shares what she has learned moving teams from AI resistance to real capability. Christa is the founder of Tacit Edge and creator of an AI readiness framework used by organizations across Canada and beyond. A product leader turned educator, she works at the intersection of AI literacy, leadership development, and workforce transformation. She and Andy dig into what she calls the messy middle of AI adoption, the place organizations land after the licenses are handed out and there is no plan for what comes next. Christa makes the case that there are no product problems, only people problems, and that adoption moves at the speed of trust, not the speed of technology.Christa walks through her mindset first framework and the sequence she takes teams through: mindset, then skill set, then tool set, and why buying tools before doing the other two is a costly mistake. She unpacks the most common sources of resistance she hears, the trap of judging AI by free tools, why leaders cannot delegate their own literacy, and how weak AI policies are usually a symptom of leadership that has not built any. The conversation also covers what companies getting this right actually do differently, the shift toward flatter organizations, and a round of Smash or Pass on the AI tools everyone is using right now.I hope you enjoy it! As always you can learn more and connect with me on my website (andystorch.com) or LinkedIn. And you can find my books - Own Your Career Own Your Life and Own Your Brand, Own Your Career - on Amazon.Connect with Christa Hill: LinkedIn | tacit-edge.com

“AI Literacy” in Quotes - FAAF 267In this 267th episode, I share my reflections from July 6-10,, 2026. Check out the WHOLE SPOTIFY PLAYLIST I put together with all the listens mentioned below:>>> bit.ly/E267FreshAirAtFivePlaylist

In this episode, EqualAI President and CEO Miriam Vogel interviews Yoel Roth, Senior Vice President of Trust and Safety at Match Group and EqualAI Board Member. Yoel shares how trust and safety operations function as an enterprise growth engine rather than a mere cost center. He outlines five categories of online harm—physical, emotional, informational, economic, and societal—and discusses how his team addresses these challenges on popular dating apps used by millions worldwide. He describes how AI can be used to help enable human connection and support the work of trust and safety professionals, emphasizing the need for a measured, human-supervised approach to ensure AI is deployed with good governance in place and that decisions impacting users are made fairly, consistently, and accurately. 

Tricia Friedman shares a real-life story about a flooded basement, an insurance claim, and what it revealed about AI literacy. After a major storm in Ottawa caused basement flooding, Tricia found herself facing the kind of problem many people recognize: too many damaged items, too many documents, too many decisions, and a process that can quickly become overwhelming. But this time, compared with a similar flood two years earlier, the experience felt different. Using AI tools, Tricia organized photos of damaged belongings, created an insurance-ready inventory, reviewed policy details, searched for replacement costs, identified relevant local supports, and built a project plan for the weeks ahead. She also used AI to think through communication with the insurance company, plan around disruption at home, and even create a small family recipe resource in the middle of the chaos. The point is not that AI made the flood easy. It did not. The point is that AI changed Tricia's capacity to respond. For educators, that distinction matters. Too often, school conversations about AI focus on shortcuts, cheating, prompt-writing, or which tool to use. This episode asks us to widen the frame. AI literacy is also about helping students become stronger problem solvers. That means knowing how to break down a complex situation, gather evidence, ask better questions, compare options, verify claims, communicate clearly, and decide what to do next. This kind of AI literacy belongs across the curriculum. A flood insurance claim can become a math problem, a media literacy problem, a civics problem, a consumer rights problem, a writing problem, a design problem, and a wellbeing problem. That is the real invitation here: bring AI bigger problems, not just cleaner prompts. In this episode: Tricia explains how AI helped her organize a flood-related insurance claim. She reflects on the difference between using AI for a task and using AI to manage a complex problem. The episode explores why AI literacy should include verification, judgment, documentation, and communication. Tricia makes the case that schools need to help students practice using AI in realistic, interdisciplinary situations. She also raises an equity question: if AI can help people navigate systems like insurance, consumer rights, city services, and legal language, then every student deserves to understand how to use it responsibly. For educators, this episode asks: What kinds of real problems are we inviting students to bring to AI? Are students learning how to check AI outputs against evidence, policy, data, and lived context? How might AI help students see connections across math, language, civics, research, and design? What does it mean to teach AI literacy as a form of agency, not just technical skill? Big idea: AI literacy is not mainly about knowing how to use a chatbot. It is about knowing how to think with a tool when the problem is complicated, consequential, and real.

One of my favorite parts of the year is finally here! I'm kicking off this summer's guest interview series with Maggie from The Caffeinated Chemist, and our conversation is full of practical ideas that made me wish we taught down the hall from each other. From making chemistry more visual to creating a classroom that practically runs itself, Maggie shares practical strategies for teaching Chemistry, building student ownership through classroom jobs, using AI to create virtual labs for absent students, and simplifying classroom management with systems that save time!➡️ Show Notes: https://itsnotrocketscienceclassroom.com/episode242Resources Mentioned:The Virtual Lab for the Caffeinated ChemistClassroom Jobs and DescriptionsCanva AI AssistantDownload your FREE Classroom Reset Challenge.Take the Free Labs When Limited virtual PD courseSend me a DM on Instagram: @its.not.rocket.scienceSend me an email: rebecca@itsnotrocketscienceclassroom.com  Follow, rate, and review on Apple Podcasts.Follow, rate, and comment on Spotify.Related Episodes and Blog Posts:Episode 201, AI Literacy for Science Teachers with Guest Amanda Bickerstaff of AI for EducationEpisode 210, 4 Ways AI Can Support You in Your Secondary Science ClassroomEpisode 232, Chemistry Scope and Sequence: How and Why I Teach Chemistry The Way That I Do

Send us Fan MailJoin hosts Alex Sarlin and special guest host Daniela Pico, Head of Platform at Forum Ventures, as they discuss the AI backlash, workforce transformation, AI literacy, social media regulation, and the evolving future of education technology.✨ Episode Highlights:[00:03:37] Anthropic launches a $150M Claude Core fellowship program for AI workforce development[00:09:09] Why organizations need AI implementation strategies and not just AI licenses[00:15:13] The rise of dedicated AI teams and AI leadership inside organizations[00:16:35] OECD and the European Commission introduce an AI literacy framework for K–12[00:26:10] Bradley County Schools wins a $27M social media lawsuit against major tech platforms[00:29:12] Why edtech should not be conflated with social media and screen time[00:37:15] The decline of EdSurge and what it means for edtech journalism[00:44:37] AI backlash grows as mainstream media shapes public perception[00:49:29] Rebuilding trust in AI through thoughtful implementation and educationPlus, special guests:[00:58:32] Dr. Ran Liu, Chief AI Scientist at Amira Learning, on the evolution of AI-powered reading tutors and the future of intelligent tutoring systems[01:18:39] Antonio Pietri, CEO of PowerSchool, on rebuilding trust, strengthening cybersecurity, and the future of AI in K–12 education

Send us Fan MailWhat does AI literacy actually look like for pathologists, researchers, and future clinicians? And how do you teach it in a way that is practical, not abstract?In this episode, I talk with Candice Chu, DVM, PhD about something I think a lot of people in digital pathology and computational pathology are feeling right now: AI is moving fast, but education is still catching up.Candice is a clinical pathologist, veterinarian, and educator building AI-focused teaching and research at Texas A&M. We worked together before on digital pathology and image analysis projects, so this conversation felt especially grounded. We talk about her AI literacy curriculum framework for veterinary education, why she decided to build it, and what it takes to teach AI in a way that is useful, ethical, and realistic.This episode is about understanding what AI tools are good for, where they can waste your time, and why hands-on experience matters. Candice explains why she sees AI as a set of tools, not a belief system. Try them. Learn them. Keep what improves your workflow. Drop what does not.We also talk about the difference between putting educational content online and building formal institutional teaching. That matters because social media can move quickly, but curriculum changes, research, and professional organizations shape longer-term adoption. Candice shares how her course started as a low-stakes elective, then grew into a more structured framework that combines education with publishable research.A big part of this conversation is the curriculum itself. We go through what students actually learn: AI fundamentals without heavy math, machine learning and image analysis, large language models, prompt engineering, chatbot building, ethics, literature research, and final projects where students evaluate real tools and workflows. I liked that the course does not stop at theory. It asks students to use tools, question them, and explain where they help and where they do not.We also get into something that matters far beyond veterinary medicine: professional responsibility. If AI is involved in a workflow, the clinician is still responsible. That includes fabricated citations, bad outputs, weak prompts, and the temptation to trust tools too quickly. Candice makes a strong case that AI education needs ethics, legal context, and interdisciplinary teaching built in from the start.If you are trying to think more clearly about AI in pathology, education, workflow design, or professional training, this episode gives you a concrete example of what responsible AI literacy can look like.Episode Highlights00:00 – Why AI tools are just tools, and why trying them matters even if you later decide not to keep using them00:33 – Who Candice Chu is and why her work on AI literacy in veterinary medicine is worth paying attention to02:33 – Why going back to Texas A&M changed the scale of Candice's AI research and teaching07:53 – How the AI course was designed as a low-stakes elective first, and why that helped student engagement11:16 – Where veterinary AI education stands now, and what professional organizations like ACVP are doing13:08 – Why AI adoption in veterinary medicine is still slow, and what skepticism usually sounds like in practice15:19 – Real examples of how Candice uses LLMs and computer vision in pathology, medical records, and research19:58 – What is actually inside the 15-week AI literacy curriculum, from fundamentals to final projects24:16 – Why ethics and legal responsibility are not optional in AI education31:35 – Why no-code tools and vibe coding are entering the curriculum already38:50 – The AI tools Candice is testing in her own workflow, including Claude, Codex, and PerplexityResources mentionedCandice Chu's AI literacy curriculum framework paper in Frontiers in Veterinary ScienceCandice's earlier work on ChatGPT in veterinary medicineTexas A&M and the institutional setting where Candice is building AI research and teachingMr. Don Riddick and the AVMA AI working group, mentioned in the ethics and legal contextClaude, Codex, and Perplexity as AI tools Candice is actively testingDigital Pathology 101, mentioned in the conversation as a teaching resourceCandice's online educational work on Instagram.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Send us Fan MailArtificial Intelligence is already transforming education, business, leadership, and society. But while schools debate AI cheating, plagiarism detection, and classroom policies, they're missing a far bigger problem: AI illiteracy. In this episode of Thinking 2 Think, Executive Director and High-Stakes Decision Advisor M.A. Aponte explores why the future belongs not to people who avoid AI—but to those who know how to think with it. The question is no longer whether students should use artificial intelligence. The question is whether they can evaluate it, challenge it, verify it, and build upon it. You'll discover: ✅ What AI literacy actually means—and why most people misunderstand it✅ The difference between AI fluency and AI literacy✅ Why AI cheating is the wrong conversation✅ The four cognitive skills every student must develop in the AI era✅ How schools can teach critical thinking alongside AI tools✅ Why prompt engineering alone is not enough✅ How parents can prepare children for an AI-driven future✅ The connection between AI literacy, leadership, and decision-making✅ Why organizations that develop AI-augmented thinkers will outperform competitors This episode explores the future of education, critical thinking, workforce readiness, leadership development, and artificial intelligence through the lens of one essential question: Are we teaching students how to use AI—or how to think with AI? Whether you're a parent, teacher, school administrator, entrepreneur, CEO, or lifelong learner, this conversation will challenge how you think about education and human intelligence in the age of artificial intelligence. Because in the future, the most valuable skill may not be knowing the answer. It may be knowing how to ask better questions. Think Clearly. Lead Boldly. Stay Logical. Support the showAbout the host: M.A. Aponte is a former JPMorgan banker, former Merrill Lynch wealth manager, former NYPD officer, Army Officer, and Executive Director of a Charter School in Florida. He is the author of The Logical Mind and host of Thinking 2 Think. Join My Substack for more content: maaponte.substack.comConsulting/Advisory Services: MAAponte.comProfessional LinkedIn Page: www.linkedin.com/in/maaponteFinancial Budget/Wealth Management app (FREE): https://centsora.com/CHECK OUT OUR NEW CRITICAL THINKING GAME APP! Currently in BETA: Android: https://play.google.com/store/apps/details?id=com.base692af669b00f0dc8d8ad6653.appWeb: https://play.google.com/apps/testing/com.base692af669b00f0dc8d8ad6653.app*Coming soon to Apple Store

Send us Fan MailLev Gonick is the CIO at Arizona State University, one of the largest and fastest-growing universities in the United States, with over 200,000 students across campuses in Phoenix, Los Angeles, Washington, and 35 partner institutions around the world. He won an ORBIE Award in 2023 as a top large Enterprise CIO, was named a Top 50 Educational Technology Influencer by EdScoop in 2022, and holds a PhD in International Political Economy from York University.Before joining ASU, he was one of the rare CIOs who came from the classroom, having spent the first decade of his career as a teacher and researcher before pioneering online learning in the 1990s, long before it became an industry. In this episode, Lev draws on more than 40 years at the intersection of technology and education to make the case that AI is not the disruptor of higher education, it is the accelerant, and that the institutions treating it that way are already building what everyone else is still debating.In this conversation, we discuss:Why AI is not the disruptor of higher education, and what has actually been driving the disruption for decadesHow ASU went from survival mode during the 2009 financial crisis to building the largest online learning operation in the country, and why the same instinct is now driving its AI strategyWhat ASU's data from 200,000 students using AI daily actually reveals about which skills will endure and which ones will notHow the role of university faculty is fundamentally changing in the AI era, and why the hardest question has nothing to do with cheatingWhat the "Agentic self" means for creatives, and how a unique course taught by Will.i.am is helping students protect and amplify their creative futures.How the traditional responsibilities of the Chief Information Officer are expanding beyond basic operations to actively shaping institutional strategy and innovation. Explore this conversation:00:00 Intro and AI Fun Fact: Blue Books vs AI Rethinking Academic Integrity04:25 Introducing Lev Gonick, CIO at Arizona State University05:17 From Classroom Teacher to Academic Disruptor at ASU08:16 ASU Principled Innovation and the Design Build Approach to AI13:23 Co-Creating with Industry: AWS Zoom and the GSV Summit at ASU17:35 Soft Skills Are Smart Skills: Rethinking AI Literacy in Higher Ed23:25 Rethinking Assessment: What Faculty Must Adapt to in the AI Era27:01 Why a College Degree Still Matters in the Age of AI30:37 From YouTube to ASU: Meeting Learners Where They Are34:22 Disrupt or Be Disrupted: ASU Mission to Reach 300000 Students35:57 From Operator to Strategist: The New Playbook for the Modern CIO40:26 Connect with Lev Gonick and Arizona State University RESOURCESSubscribe to the AI & The Future of Work NewsletterConnect with Lev on LinkedInAI fun fact article: Blue Books Are Making a Campus Comeback via Axios, by Josephine WalkerOn what most entrepreneurs get wrong when pitching to VCs.

In this episode of In AI We Trust?, EqualAI President & CEO Miriam Vogel interviews Karim Meghji, President and CEO of CodeAI, We recorded this session as CodeAI launches its first of its kind joint AI Literacy (AILit) Framework with the European Commission and the Organization for Economic Cooperation and Development (OECD. A global education non-profit originally founded in 2013, Karim discusses CodeAI's massive scale, reaching over 150 million students and 3 million teachers across 190 countries. Miriam and Karim address the organization's flagship Hour of AI campaign, which has engaged over 33 million learners in fun, educational coding activities designed around core learning objectives. Karim also shares his personal practice of using AI as a sounding board to challenge his ideas, while cautioning against using it to replace authentic human voice. We hope you enjoy this episode!

Send us Fan MailAI can feel like magic until you look closer and realize it's built on choices, data, and a whole lot of guessing. For our Season 3 finale of AI for Kids, we pull together the biggest takeaways from the season and turn them into simple, usable rules kids can remember and grown-ups can support at home, in libraries, and in classrooms. The bottom line stays the same: you don't have to fear artificial intelligence, but you do have to think, pause, and stay curious.We talk about what AI literacy for kids really means beyond “typing a good prompt.” It's the habit of asking better questions: Did this help me learn or just hand me an answer? Does it sound true or do I need to verify it? We also revisit why data literacy matters so much, with everyday examples like checking the weather, budgeting money, and forecasting toward a goal. Those small moments teach kids how to reason with information, which is exactly what they need when they face AI hype, viral screenshots, or content that might be misinformation.Then we get real about safety and boundaries. We unpack why human-like chatbots and character AI can be unhealthy when kids start treating a word generator like a person, and why “easy” is often a warning sign for sloppy or wrong. We also explore AI toys and hyper-personalization, including how a talking toy that follows one interest can shrink imagination instead of expanding it. For parents and teachers, we share a practical “parent in the loop” mindset: define the goal, choose tools built for kids and stay involved as the tech changes.If this season helped your family, subscribe, share the show with a friend, and leave a review so more parents, teachers, and caregivers can find it. What's one AI rule you want kids to remember this summer? Support the showHey parents and teachers, if you want to stay on top of the AI news shaping your kids' world, subscribe to our weekly AI for Kids Weekly newsletter:https://aiforkidsweekly.beehiiv.com/Help us become the #1 podcast for AI for Kids, parents, teachers, and families.Like our content? patreon.com/AiDigiTalesGet or gift the book “AI… Meets… AI”Social Media & Contact: Website: www.aidigitales.comEmail: contact@aidigitales.comFollow Us: InstagramBooks on Amazon or Free AI WorksheetsListen, rate, and subscribe! Apple PodcastsAmazon MusicSpotifyYouTubeOther

Artificial intelligence is rapidly reshaping public health, but are today's workforce and tomorrow's graduates prepared to use it responsibly? Today, Ari Whiteman, a senior advisor for public health data and informatics workforce at ASTHO, talks about the growing importance of AI literacy across the public health field.  He'll explain why AI literacy goes beyond simply knowing how to use new tools and why public health professionals need practical, real-world training to safely integrate AI into their work. 2026 Annual Conference - Society for Public Health Education - SOPHE⁠Full ScheduleStrengthening Academic Health Department Partnerships: Workforce Pathways in CaliforniaThe Mutual Advantage: How Graduate Assistants Elevate Academic Health Department Partnerships

In this milestone 750th episode of Trending in Education, host Mike Palmer takes the podcast on the road to the Harvard Graduate School of Education (HGSE) for the Next Level Lab Spring Learning Summit. Centered on the future of work, workforce learning, and instructional design, this episode features a dynamic series of conversations with emerging researchers and educational innovators who are reimagining how humans learn, lead, and thrive alongside advancing technology. Mike kicks off the celebration by reflecting on the podcast's 750-episode journey, giving a nod to the community, and sharing updates on his latest media projects before diving into a packed poster session at the summit. The episode features five insightful interviews that bridge the gap between human capability and technological innovation. Ruiz Clark from Digital Promise shares his research on the Digital Leadership Convergence Model. He outlines a strategic project working with a large California school district to establish a vision for AI literacy, explaining why educational systems must look past basic technical literacy to completely rethink the purpose of education in an automated world. Palak Chandak and Archana Chaudhary discuss their framework for Humanics Integrated Business Studies (HIBS). They detail an innovative curriculum designed to cultivate durable skills, like communication and critical thinking, highlighting a real-world pilot project that embedded business students within coastal surf schools in India to solve community-driven challenges. Chilean entrepreneur Felipe Vergara Iduya introduces Hestia, an AI-supported framework designed to capture unstructured community evidence—such as peer relationships, behavior patterns, and school climate data—to foster system-level wellbeing within school ecosystems. Beth Sapire examines the intersection of learning and healing. Drawing on adult development theories and constructive developmental psychology, she outlines the systemic conditions necessary for expansive, collective learning within complex organizations. Finally, Sean Snyder and Bill Wisser from the HGSE Teaching and Learning Lab (TLL) break down their design and development process. They discuss the creation of a university-wide data fluency initiative for Harvard staff and explain how they utilized AI voice generation and animation tools to optimize course assets for the Data-Wise Learning Institute. Show References: Running It Back Podcast: Mike's Lessons Learned From Sports podcast with Tarlin Ray. ⁠Palm Court Pod:⁠ Mike's New College of Florida podcast with Grant Balfour and Megan Citron. Here's the John Oliver piece chronicling the challenges faced by Mike's alma mater. New College Film Project: Learn more about the documentary First They Came For My College directed by Harry Hanbury at newcollegefilm.com. The Convergence Model: Download the paper and view the poster framework developed by Ruiz Clark at theconvergencemodel.com. HGSE Teaching and Learning Lab: Explore the resources, course design support, and institutional projects mentioned by Sean and Bill at tll.gse.harvard.edu. Innovation-ish: Read up on the book by summit host Tessa Forshaw and co-author Rich Braden, a frequent touchstone on the podcast regarding creative confidence. ElevenLabs: Explore the AI voice generation platform utilized by the TLL team to streamline production logistics for simulated learning environments. Adobe Character Animator: Discover the performance-based animation software used to bring the TLL team's simulated teaching avatars to life. Timestamps: 00:00 Milestone 750th Episode Celebration and Welcome 01:54 Introduction to the Next Level Lab Spring Summit at HGSE 05:53 Ruiz Clark on AI Literacy and the Digital Leadership Convergence Model 10:30 Palak Chandak and Archana Chaudhary on Humanics Integrated Business Studies 17:30 Felipe Vergara Iduya on the Hestia Wellbeing Framework 23:30 Beth Sapire on Expansive Learning, Adult Development, and Healing 29:00 Sean Snyder and Bill Wisser on Data Fluency and AI Workflow at the HGSE TLL 35:30 Post-Summit Reflections and Summer Preview Like, Share, and Subscribe wherever you get your podcasts to stay updated on the latest trends in education. Bonus points for writing a review to help us run through the tape all the way to 1,000 episodes!

In this episode, I chat with Matt Miller about his new book, AI Literacy in Any Class, and what it means to prepare students for a future shaped by artificial intelligence. We explore practical ways teachers can integrate AI literacy into everyday lessons without losing focus on meaningful learning, strong instruction, or core content. Matt shares approachable strategies educators can use across grade levels and subject areas to help students think critically about AI, ask thoughtful questions, evaluate information, and engage responsibly with emerging technologies. We also dig into some of the more challenging conversations happening in education right now, including concerns about screen time, technology use in classrooms, and the growing pushback against devices in schools. Instead of framing technology as simply good or bad, we discuss the importance of intentional instructional design and how the way technology is used ultimately shapes the learning experience. Episode Resources Check out Matt's New Book! AI Literacy in Any Class Connect with Matt Miller Skills Before Tools: K-12 AI Implementation Guide

Main topic: Talking about Learning Design, Digital Competencies and AI Literacy with Javier Mármol QueraltóWatch in YouTube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠***Check our Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.eltinchile.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hope you enjoy this episode! We welcome your feedback and comments, feel free to email us at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@eltinchile.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BlueSky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn

→ How can education podcasting impact professional growth over time?→ What is the single most dangerous misconception schools are making about artificial intelligence right now?→ How can design thinking prepare secondary students for a complex, uncertain, technology-driven future?Welcome back to the Teachers on Fire Podcast, airing live on YouTube most Saturday mornings at 8am Pacific, 11am Eastern. My name is Tim Cavey, and my mission here is to warm your heart, spark your thinking, and ignite your professional practice.Today's Teacher on Fire is Alex Gray. Alex is head of sixth form, BSME Network Lead for AI in Education, and founder of the DEEP Education Network, a global platform connecting 1,000+ educators across 50+ countries with courses, community, and evidence-based frameworks for modern teaching. He hosts The International Classroom Podcast, one of Dubai's largest education podcasts with hundreds of thousands of views.You can connect with Alexon LinkedIn,on Instagram @deepeducationnetwork,on YouTube @deepeducationnetwork, and on his website at deepeducationnetwork.com/blog.Timestamps from This Episode0:00:00 - Alex Gray is a secondary educator and podcaster in Dubai1:48 - Alex's journey from the UK to Dubai5:43 - Teacher sustainability in international contexts9:26 - Teacher burnout around the globe12:31 - Podcasting as professional development15:46 - AI literacy23:09 - School misconceptions about AI25:30 - Vibe coding29:20 - Design thinking in secondary34:54 - Alex's courses for educators at deepeducationnetwork.com37:46 - How and where to connect with Alex onlineVisit the home of Teachers on Fire at https://teachersonfire.net/.Song Track Credit: Tropic Fuse by French Fuse - retrieved from the YouTube Audio Library.

In this episode of The Good Life EDU Podcast, Andrew Easton welcomes back Amanda Bickerstaff, CEO and Co-Founder of AI for Education, for a timely conversation about where schools are in their generative AI journey and what practical next steps can help educators, leaders, and students move forward with greater clarity. Amanda shares the thinking behind AI for Education's new SEE Framework, which defines generative AI literacy as the knowledge, mindsets, and practices that allow individuals to use GenAI safely, ethically, and effectively. The conversation explores why AI literacy cannot be limited to teachers or leaders alone, why schools should avoid gatekeeping these conversations from students, and how clear guardrails can help learning communities make more intentional decisions about AI use. Andrew and Amanda also discuss the practical dilemmas schools are facing right now, including AI-generated feedback, AI grading, AI detection, student use of chatbots, Google AI Overviews, and the need to move beyond simple “AI is good” or “AI is bad” binaries. Amanda emphasizes that the work is not about adopting every AI tool or avoiding AI altogether, but about building the judgment to know when AI use is appropriate, when it is not, and how to remain intentional, critical, transparent, responsible, and committed to continued learning. This episode also previews Amanda's keynote and breakout session at the Future Ready Nebraska Conference, where she will explore the SEE Framework and provide practical examples, including “SEE snapshots,” that help educators think through real-world AI decisions using the framework's lenses of safe, ethical, and effective use. Resources: AI for Education Resource hub for AI literacy, guidance, prompt libraries, webinars, and practical supports for schools. https://www.aiforeducation.io/ The SEE Framework: A Practical Guide to Building Generative AI Literacy AI for Education's generative AI literacy framework focused on the knowledge, mindsets, and practices needed to use GenAI safely, ethically, and effectively. https://www.aiforeducation.io/the-see-framework-for-generative-ai-literacy AI Course for Educators — AI for Education A free, self-paced, two-hour course designed to help educators get started with AI, developing prompting strategies, considering ethical implications, and introducing AI to students responsibly. https://www.aiforeducation.io/ai-course Beyond the AI Inflection Point A futurist piece from AI for Education that explores a fictional school district's AI journey from 2023 to 2030 and invites educators to think through the choices schools are facing now. https://www.beyondtheaiinflectionpoint.com/ Future Ready Nebraska Conference Amanda Bickerstaff's keynote and breakout session will highlight the SEE Framework and practical AI literacy decisions for schools. https://nefutureready.com/

Farzad returns to the podcast for an in-depth discussion about the future of AI. Our kids will grow up in a world shaped by artificial intelligence. This episode emphasizes the importance of understanding the ai future and how it impacts the future of work. Dads are encouraged to embrace ai literacy to prepare themselves and their children for the evolving landscape, fostering ai innovation rather than fear. About Farzad: Farzad has spent over a decade studying and working inside the world of technology — first as a Tesla insider, then as a full-time creator and analyst exploring how AI, automation, and human ingenuity are shaping the next era of civilization. It's about understanding where the world is actually heading — through the lens of real data, human behavior, and first-principles thinking. From the rise of AI-driven industries and autonomous systems to the economics behind innovation, his goal is to make complex ideas accessible — to help people see how these massive shifts connect, and what they mean for our future. He even wrote a book outlining this entire thesis - Abundance or Collapse. Follow Farzad: Website: https://farzad.fm/

Send us Fan MailJoin host Ben Kornell for a special episode featuring leaders across digital literacy, AI-native schooling, student support, and curriculum innovation in K–12 education.✨ Episode Highlights:[00:02:10] Lisa O'Masta, CEO of Learning.com, on why digital literacy and AI literacy must start in elementary school[00:18:34] Aaron Feuer, CEO and Co-founder of Panorama Education, reflects on building Panorama into a platform serving one in four U.S. students[00:32:34] Larisa Hovannisian, Founder and CEO at Armenia Education Initiative, explains why Armenia is positioned to leapfrog legacy education systems[00:43:50] Alexandra Walsh, Chief Product Officer at Amplify, discusses bringing classroom experience into product leadership

Mel Sellick readies for AI by going beyond literacy to address the psychological, cognitive, and relational capacities required to ensure AI works for humans.Mel and Kimberly discuss AI literacy vs. human readiness; the contours of human vulnerability; AI as a social actor; collective understanding and emotional regulation; instrumental AI dependency; the non-reciprocal nature of AI; the spectrum of relationality; human flourishing; attention, agency and alternate futures; positive friction in human systems; supportive social structures; cognitive offloading and debt; self-reflection and calibrating human needs.Mel Sellick is an applied psychologist specializing in Human-AI interaction. The Founder of the Future Human Lab, her Human Readiness Framework has shaped conversations in IEEE, UNESCO, Oxford, MIT, Harvard and beyond.Additional Resources:Future Human Lab: https://www.futurehumanlab.com/ IEEE Organizational Readiness for Human-AI Interaction (Chair, SA-P7023) https://standards.ieee.org/ieee/7023/12394/Oxford AI in Education Hub (AIEOU): https://aieou.web.ox.ac.uk/ Harvard AI for Human Flourishing Council: https://hfh.fas.harvard.edu/ai-human-flourishing A transcript of this episode is here.

D&P Highlight: What is AI literacy? full 495 Thu, 07 May 2026 18:57:00 +0000 HLomitLLGxkD6eTrkbhJR7LQ3A0YbM8R news The Dana & Parks Podcast news D&P Highlight: What is AI literacy? You wanted it... Now here it is! Listen to each hour of the Dana & Parks Show whenever and wherever you want! © 2025 Audacy, Inc. News False https://player.amperwavepodcasting.com?feed-link=https%3A

In this special edition of Trending in Education, former colleagues reunite as Mike Palmer interviews Lorin Thomas-Tavel, the CEO of BrainPOP. We explore the evolution of a major brand in EdTech and discuss how it continues to simplify complex topics for students and teachers alike. We dive into the 27-year history of BrainPOP, which began when a doctor created animated content to help young patients understand their own bodies. Today, the platform serves as a trusted companion for teachers in K-8 classrooms, focusing on sense-making during complicated times. We discuss the unique parasocial bond children and adults share with iconic characters like Tim and Moby, and why human-led storytelling continues to power the magic of the product. We also celebrate AI Literacy Day by talking about BrainPOP's work on AI literacy. Lorin explains how they partnered with Digital Promise to adopt a rigorous framework that focuses on understanding, evaluating, and using AI. We discuss why AI is an additive tool rather than a replacement for the human teacher in the classroom. The conversation touches on BrainPOP's partnership with Kirkbi, the private holding and investment arm of LEGO, and how this collaboration energizes their mission of digital play and impact. Lorin also shares leadership insights on "even over" prioritization, the 10x power of cultural fit, and her recognition as an honoree with the Power of Women at the ASU+GSV conference. Time Stamps: 00:00: Intro and a Kaplan Reunion 03:00: The History and Mission of BrainPOP 04:45: Character Pedagogy and the Power of Moby 08:50: Launching the AI Literacy Collection with Digital Promise 13:45: The Lego Partnership and Digital Play 16:45: Integrating AI While Maximizing the Human Element 19:45: ASU+GSV and the Power of Women Recognition 21:40: Career Advice on Mentorship and the Courage to Ask 23:45: Building Culture and Using Even Overs for Focus 28:30: Final Takeaways on Curiosity and Community Like, follow, and subscribe to Trending in Ed with Mike Palmer wherever you get your podcasts so you never miss an episode like this one.

What's the difference between digital literacy and AI literacy—and why does it matter for the future of work?In this episode, Corey sits down with Nancy Mwirotsi, founder of Pi515, to break down how technology is shaping economic mobility for youth. They explore why basic digital skills are still missing, how AI tools are changing critical thinking, and what it takes to prepare the next generation for real opportunities.Nancy shares her journey building Pi515 to support underserved and refugee youth through tech education. She also explains how exposure, mentorship, and hands-on learning can change a child's trajectory.If you care about education, workforce development, or closing opportunity gaps, this conversation will challenge how you think about tech and youth development.Show NotesWhat you'll learn: The difference between digital literacy and AI literacy  Why many students still lack basic tech skills  How AI tools can weaken or strengthen critical thinking  The role of mentorship in shaping career paths  How tech access impacts economic mobility  Why youth need exposure to real-world opportunities  The risks of over-relying on AI tools  How to prepare kids for the future of work Key Moments: 00:00 – Introduction to Nancy and Pi515  03:00 – How Pi515 started and supporting refugee youth  05:30 – Why exposure shapes career possibilities  09:00 – Digital literacy vs AI literacy explained  13:00 – The danger of overusing AI tools  17:00 – Skills youth need for future jobs  20:00 – AI risks: misinformation and deepfakes  22:30 – How parents and educators can guide kids  27:00 – Best AI tools and how to use them wisely  32:00 – Youth, entrepreneurship, and making money with AI  34:00 – Why talent leaves cities like Des Moines  40:00 – Building innovation ecosystems for the future Notable Quotes: “Kids cannot be what they don't see.”  “Digital literacy is basic skills. AI literacy is understanding the tool, the ethics, and the impact.”  “You can't let the tool do the thinking for you.”  “We need to empower young people as leaders, not just learners.” Resources & Links: Pi515: https://pi515.orgCall to Action: Subscribe for more conversations on health, community, and opportunity  Share this episode with educators, parents, and leaders  Leave a review to help more people find the show ★ Support this podcast ★

16. Kevin Frazier and Thaddeus McCotterexplore the relational aspects of AI and its influence on youth. They contrast AIsubscription models with social media's engagement-driven algorithms, emphasizing the need for AI literacy.,, (16)1955

The prediction market platform Kalshi announces new rules this week. Plus, the Department of Labor introduces an AI literacy course. But first, a jury in Los Angeles this week found that Meta and YouTube were negligent in what's being called a landmark case.The social media companies were accused of intentionally designing their platforms to be addictive, which caused harm to a young user's mental health. The companies were ordered to pay $6 million in damages — and they've told media outlets they disagree with the verdict and are exploring their legal options.Marketplace's Stephanie Hughes spoke with Maria Curi, tech policy reporter at Axios, about all these headlines for this week's “Tech Bytes: Week in Review.”

The prediction market platform Kalshi announces new rules this week. Plus, the Department of Labor introduces an AI literacy course. But first, a jury in Los Angeles this week found that Meta and YouTube were negligent in what's being called a landmark case.The social media companies were accused of intentionally designing their platforms to be addictive, which caused harm to a young user's mental health. The companies were ordered to pay $6 million in damages — and they've told media outlets they disagree with the verdict and are exploring their legal options.Marketplace's Stephanie Hughes spoke with Maria Curi, tech policy reporter at Axios, about all these headlines for this week's “Tech Bytes: Week in Review.”