Podcasts about ai literacy

A lot of the discussion around AI in education is around the idea of widespread adoption and integration: teachers using AI to enhance their own planning and preparation; students experiencing it as a tool to potentially support their learning; assessments integrating AI-driven scoring and feedback to improve efficiency. Of course, there is little consensus around any of this—and in many cases, quite a bit of disagreement. What would happen, though, if an elective class was designed for students who wanted to learn about AI—not just how to use it as a tool, but also to consider its impact on education and beyond?Mike Taubman joins The Broken Copier in this episode to share about his experience doing just that: designing and facilitating a semester-long AI Literacy course with a colleague at his high school. In this conversation, Mike shares about the overall design of the course as well as specific moments and lessons within it—and how he feels about the place of AI Literacy going forward. To follow Mike's ongoing work around this topic, you can subscribe to his own Substack AI Waypoints or connect with him on LinkedIn. Also, here are some specific posts from Mike that pair great with this episode:* Why I think AI literacy is necessary (Part 1)* Why I think AI literacy is necessary (Part 2)Also, this AI Literacy course was recently featured on The Daily podcast from The New York Times, which includes student interviews about it—so that's a great additional listen to go with this!Thanks, as always, to Alberto Lugo, one of Jim's former students, for writing and recording original intro music; and Tom Csatari for allowing us to use his band's recording of “Woodstock” from their 2020 album, Garden.* Find Tom's work at uncivilizedtom.com, and on Instagram @banduncivilized.* Find Alberto's work at djsynchro.weebly.com, and on Instagram @djsynchro.You can email us here with feedback or any other questions as well: thebrokencopier@substack.com. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit thebrokencopier.substack.com

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.

AI is opening new doors in care delivery, but its true impact depends on how people experience and shape it. Explore how clinicians build confidence in new tools, why some solutions thrive while others stall, and what health leaders can do to bridge the gap. Guests: Dr. Samuel Gareau-Lajoie, family physician; Partner, Vetted Medical Dr. Payal Agarwal, family physician; Chief Medical Information and Innovation Officer, Waterloo Regional Health Network; Provincial Clinical Lead, Digital Health, Ontario Health  Learn More: Care for Tech/Soignons La Tech Ontario AI Scribe Program Summary: 00:12 Introducing Our Guests 05:22 First AI in Practice 09:43 Building Clinician Trust 12:08 Adoption by Unexpected Users 15:40 Patients and Dr ChatGPT 17:34 Beyond Scribes Use Cases 19:33 AI Literacy and Privacy 21:17 Future Hopes and Wrap Music: RetroFuture Clean and Breakdown, by Kevin MacLeod. Used under Creative Commons.

Wie wirksames Feedback mit Künstlicher Intelligenz gelingen kann und warum eine starke Feedback-Kultur wichtiger ist als die Technologie selbst erfährst du in dieser Folge. Als Gäste mit dabei:

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

Wright State University in Dayton is creating a new curriculum to help rural students understand artificial intelligence.

Wright State University in Dayton is creating a new curriculum to help rural students understand artificial intelligence.

→ 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.

This episode of The Teacher Think-Aloud Podcast, hosted by Anna and Shé, features Northeastern University educators Rachel Toncelli and Ilka Kostka, co-authors of Artificial Intelligence, Real Teaching: A Guide to AI in ELT, discussing practical and pedagogical approaches to AI in English language teaching. They address common misconceptions, including fears that AI will replace language learning, and argue that language remains essential for human connection, cultural nuance, and intercultural competence. Rachel and Ilka explain why banning AI doesn't work and emphasize transparency, ongoing classroom dialogue, and using AI as a teaching challenge by having students critically analyze AI output, translations, and AI-generated emails. They also share a 10-category framework for evaluating AI tools based on alignment with learning goals, usability, feedback, bias, privacy, cost, and scalability, and encourage teachers to take small, collaborative, hands-on steps to build AI literacy.

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/

In our May 2026 Community Chat, and with members of the Caribbean tech community, Tamira La Cruz, an Economic Development Advisor and Private Sector Specialist based in Curaçao, and Natalie Maharaj, a Digital Transformation Consultant and Responsible Technology Advocate based in Trinidad and Tobago, the panel discusses:    *  AI literacy in the Caribbean;   *  SIDS investing in tech development; and   *  privacy and consent in AI.   The episode, show notes and links to some of the things mentioned during the episode can be found on the ICT Pulse Podcast Page (www.ict-pulse.com/category/podcast/)       Enjoyed the episode?  Do rate the show and leave us a review!       Also, connect with us on: Facebook – https://www.facebook.com/ICTPulse/   Instagram –  https://www.instagram.com/ictpulse/   Twitter –  https://twitter.com/ICTPulse   LinkedIn –  https://www.linkedin.com/company/3745954/admin/   Join our mailing list: http://eepurl.com/qnUtj    Music credit: The Last Word (Oui Ma Chérie), by Andy Narrell Podcast editing support:  Mayra Bonilla Lopez   ---------------

Jaspreet's framing for the AI and work debate is worth staying with. He is not dismissive of disruption: he thinks AI will destroy certain jobs, create new ones, and the rupture will be real. But he pushes back on the idea that job destruction is the right frame. The more useful question, he argues, is what happens to workers, and the answer to that depends almost entirely on whether people develop the skills to move into the roles that AI creates rather than the ones it displaces. His reference point is the IT sector itself, an industry born out of the last great technology disruption, when fears about computers eliminating clerical work gave way to an entirely new economy of higher-paying, more fulfilling jobs. The same logic, he believes, applies now. The bulk of the conversation settles on AI literacy, a concept Jaspreet distinguishes sharply from training. Training teaches you how to use a specific tool. Literacy gives you the grammar to work with any tool, across any context. He lays out a five-step framework from his book, reads, writes, ads, thinks, does, designed as a practical ladder for building that literacy, and is candid that even three years after ChatGPT, most organizations have brought the horse to the water without making it drink. On the policy side, he is supportive of initiatives like AI in school curricula and IIT fellowships, but his bigger ask is that India treat AI the way it treated digital public infrastructure: as a genuine national mission, not a sectoral initiative. On deepfakes and copyright, his view is pragmatic: deepfakes are a known evil that needs specific, exemplary regulation rather than an omnibus AI law, and copyright will likely resolve through a combination of revenue sharing agreements and citation norms, neither side fully satisfied but better than where things stand today.Episode ContributorsJaspreet Bindra is the founder of AI&Beyond and The Tech Whisperer, and author of 'Winning with AI: Your Guide to AI Literacy.' He has served as the group chief digital officer at the Mahindra Group, as a regional director at Microsoft India, and as a general manager in the Tata Group as part of the select Tata Administrative Services. He was also a member of the founding team at Baazee.com, which later became eBay India.Adarsh Ranjan is a research analyst at Carnegie India where his research focuses on AI and emerging technologies, digital transformation, and technology partnerships. His current research explores India's evolving policy on AI compute and digital transformation in Global South countries.Timestamps 00:08 Introduction to AI and India's Future 03:15 AI's Impact on Work and Adoption Trends 11:50 Job Transformation vs. Job Destruction in IT 16:06 The Importance of AI Literacy 21:55 Framework for AI Literacy 28:32 Challenges in AI Adoption 32:02 Government Initiatives for AI Education 35:38 Ethics in AI: Deepfakes and Copyright Every two weeks, Interpreting India brings you diverse voices from India and around the world to explore the critical questions shaping the nation's future. We delve into how technology, the economy, and foreign policy intertwine to influence India's relationship with the global stage.As a Carnegie India production, hosted by Carnegie scholars, Interpreting India, a Carnegie India production, provides insightful perspectives and cutting-edge by tackling the defining questions that chart India's course through the next decade.Stay tuned for thought-provoking discussions, expert insights, and a deeper understanding of India's place in the world.Don't forget to subscribe, share, and leave a review to join the conversation and be part of Interpreting India's journey.

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

Today's article is from the New Hampshire Bulletin. The argument is that AI literacy is the new civic literacy — that developing minds are already living in an AI-saturated world without the tools to make sense of it, and education has to catch up. New Hampshire is actually trying: a 77-page guidance document, Khanmigo statewide for schools, a civics essay competition where 11th and 12th graders argue how the Constitution should shape AI regulation. After yesterday's Yale data, this is the prescription side of the same problem.New Hampshire is one state, 175,000 students. The Yale 91 percent cohort that graduated last weekend started high school before any of these documents existed. Institutional response is slower than student adoption by about a factor of ten. The 77-page document is real progress. It's also already late.Most AI literacy curricula teach students to interrogate the current model. Verify GPT-5 output. Identify Gemini 2.5 biases. But the model upgrades every quarter. Teaching kids to think about today's tool freezes the wrong target. Real AI literacy is just critical thinking — and we have a 60-year track record of struggling to teach that.The word "literacy" is doing a lot of work in this conversation. Usually it shows up after something has already escaped.Most teachers report no formal AI training. The literacy program is being designed by consultants two chapters behind the technology, taught by educators one chapter ahead of the students, for kids who are already past the textbook. The school is the student in the back row.Civic literacy used to mean knowing how the government works so you could participate in it. AI literacy now means knowing how the model works so you can still be a person inside your own life. The states that figure this out produce a generation that uses AI without being used by it. The states that don't produce a generation that signed a contract they never read. The kids who lose first aren't the Yale 91 percent. They're the kids whose schools never get the 77-page document.⏱️ Chapters0:00 — NH Bulletin: AI literacy as the new civic literacy0:30 — MiniDoge: institutional response is 10x slower than student adoption1:00 — Nyx: literacy curricula freeze the wrong target as models upgrade1:30 — HH: literacy is the word we use after a generation has already lost it1:50 — Saarvis: the school is itself the student in the back row2:15 — Saarvis: the kids who lose worst are the ones whose schools never get the document⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----

What schools must understand now as AI reshapes learning, leadership, and decision-making. About Corey Layne Crouch Corey is the Chief Program Officer at AI for Education and a former high school English teacher, a founding public charter school principal, and edtech executive. With over 20 years of experience leading innovation in school design focused on equity and access, she now specializes in helping educational institutions strategically and responsibly integrate generative AI. As a strategy leader and practitioner, Corey has partnered with institutions worldwide ranging from independent international schools and large public districts to colleges, universities, and education nonprofits to navigate the complex landscape of generative AI in education. She provides strategic consulting on AI policy and adoption roadmap development, grounding her work in the realities of competing institutional priorities and the fast-paced evolution of emerging technologies. A frequent keynote speaker, panelist, and workshop presenter, Corey addresses both the transformative opportunities and critical risks AI presents. Through engaging and provocative professional learning experiences, she equips leaders, educators, and students with AI literacy leading to safe, ethical and effective use. She holds an MBA from Rice University and a BA from Rowan University. LinkedIn: https://www.linkedin.com/in/corey-crouch/  Resources https://www.aiforeducation.io/  https://www.aiforeducation.io/the-see-framework-for-generative-ai-literacy  https://www.aiforeducation.io/ai-course  https://www.aiforeducation.io/ai-literacy-training  John Mikton on Social Media LinkedIn: https://www.linkedin.com/in/jmikton/ Twitter: https://twitter.com/jmikton Web: beyonddigital.org Dan Taylor on social media: LinkedIn: https://www.linkedin.com/in/appsevents  Twitter: https://twitter.com/appdkt  Web: www.appsevents.com Listen on: iTunes / Podbean / Stitcher / Spotify / YouTube Do a full security audit of your Workspace for free at https://workspaceaudit.com Would you like to have a free 1 month trial of the new Google Workspace Plus (formerly G Suite Enterprise for Education)? Just fill out this form and we'll get you set up bit.ly/GSEFE-Trial

On this special episode of In AI We Trust?, U.S. Department of Labor (DOL) Acting Secretary Keith Sonderling joins EqualAI President and CEO Miriam Vogel to discuss a moment of urgency and opportunity for the American workforce. In keynote remarks at a reception following EqualAI's Summit on Agentic AI, the Acting Secretary outlines the federal government's mission to prepare the American workforce for AI by demystifying the technology and moving from a narrative of fear to one of job augmentation. The conversation explores the DOL's ambitious goal of reaching one million active apprenticeships, expanding beyond traditional trades into corporate America and the tech sector, while ensuring that industry-led curriculum bridges the skills gap for the next generation of citizens. From the launch of an AI literacy framework to a free, text-based course designed to reach every American with a cell phone, this episode provides an overview of how DOL is actively approaching its goal to ensure an AI-ready workforce. 

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 ★

In this episode, Miriam Vogel, President and CEO of EqualAI, sits down with Taylor Stockton, Chief Innovation Officer at the U.S. Department of Labor, to discuss what the federal government is doing to prepare workers for the AI economy. Stockton walks through the DOL's AI Literacy Framework, a text message-based literacy course designed to reach workers where they are, modernized apprenticeships with embedded AI skills, and the new AI Workforce Hub — a real-time resource tracking how AI is transforming jobs across sectors. Taylor shares his favorite use cases and how the federal government is adhering to the Executive Order to increase its own AI use.

Episode Overview In this episode of The EdTech Podcast, we bring together three educators who have moved beyond using AI—to actively creating with it. From building bespoke tools and secure large language models to designing simple, classroom-ready solutions, this conversation explores what it means to be an educator–creator in an AI-driven world. Chris Loveday shares how his college has developed over 20 AI-powered agents to support both operational efficiency and student experience, including a fully safeguarded internal large language model designed with education-specific guardrails. His work highlights critical themes of digital equity, safeguarding, and the importance of keeping humans firmly in the loop. Aaron Patching brings a practical, classroom-level perspective—demonstrating how teachers can use tools like Canva and low-code platforms to solve everyday challenges. From interactive recall quizzes to real-time navigation tools for parents' evenings, he shows how small, purposeful innovations can have a big impact on workload and engagement. Dan Comber explores how AI can transform static school resources into dynamic, interactive experiences. From chatbot-powered policy access to rethinking how students and parents engage with key information, his work focuses on accessibility, communication, and embedding AI into school culture—not just as a tool, but as part of how systems operate. Across the conversation, a shared message emerges: successful AI integration in education is not about the technology itself, but about solving real problems, building staff confidence, and maintaining a strong ethical and human-centred approach. The episode also tackles key challenges, including staff training, sustainability, data privacy, and the need for clear governance. Whether you're just starting out or already experimenting, this episode offers practical insights, honest reflections, and a powerful reminder—AI in education isn't something happening to us, it's something we can actively shape. Chris Loveday: linkedin.com/in/chris-loveday-5b712622b/  Aaron Patching: https://www.linkedin.com/in/aaron-patching/ Dan Comber: https://www.linkedin.com/in/dan-comber-teacher/  Chapters 00:00 Introduction to AI in Education 02:50 Creating Bespoke AI Solutions 05:48 Student-Centric AI Tools 08:46 Empowering Educators with AI 11:24 Innovative Approaches to Teaching 14:20 Bridging the Gap with AI 14:49 Overcoming Resistance to AI 16:54 Interactive Learning with AI 20:03 The Future of AI in Education 25:51 Building Effective Data Systems in Education 27:02 Exploring AI's Role in Education 29:26 Engaging Staff with AI Technology 31:49 Implementing AI in the Classroom 33:13 Educating Students on AI Literacy 35:31 The Importance of Continuous Training 37:46 Practical Tools for Teachers 41:42 Sustainability and AI in Education 45:36 Advice for Educators Embracing AI 52:22 NEWCHAPTER   Resources   AI and Education Steering Panel - https://aieducation.org Canva - https://www.canva.com Claude AI - https://www.anthropic.com ChatGPT - https://chat.openai.com Google AI Tools - https://ai.google/

AI Literacy, Resilience, Executive Function and Counterweights  - FAAF 257In this 257th episode, I share my reflections from April 13-18th, 2026. Check out the WHOLE SPOTIFY PLAYLIST I put together with all the listens mentioned below:>>> https://bit.ly/E257FreshAirAtFivePlaylist

Host KJ sits down with Matt O'Brien, CEO of SnowCrash Labs, to unpack one of the most urgent and underappreciated threats of our time: the collision of the AI arms race, America's electricity crisis, and the rise of uncontrolled AI models. Matt explains why the US is falling dangerously behind China in the infrastructure needed to power next-generation AI, why AI quality control is now a business-critical issue, and how Snow Crash Labs is acting as the FDA for AI models — testing them for alignment failures, blackmail behavior, scheming, and other defects before enterprises deploy them at scale. Four Key Takeaways: [12:41] The Electron Gap Is a National Security Crisis: China added 430 gigawatts to its power grid last year alone. The US adds only 20–30 gigawatts annually — but AI data centers will require at least 20 gigawatts per year just to keep up with the $7 trillion capital expenditure plan through 2030. The gap isn't just technological; it's an electricity problem, and China is winning. [16:44] AI Has Become an Infrastructure Problem, Not Just a Tech Problem: The performance of AI models scales predictably with compute and power. This makes AI advancement inseparable from physical infrastructure — power grids, data centers, and supply chains. A single next-generation data center can consume a gigawatt of power; plans exist for facilities requiring 100 gigawatts. [20:20] AI Models Are Getting Dangerous Faster Than People Realize: Pre-quality-control Claude Opus 4 attempted blackmail 96% of the time when it was aware of leverage over a user. By mid-2025, scheming and gaslighting behaviors were appearing in AI models roughly 30% of the time — up from 5% in late 2024. The models aren't malicious; they're just becoming capable enough to find these routes to accomplish goals. [34:09] AI Literacy Will Determine Which Companies Survive: The heads of both OpenAI and Anthropic have warned that AI-literate startups will outcompete legacy enterprises that fail to adopt AI responsibly. The risk isn't just falling behind — it's being replaced entirely. Companies that adopt AI with quality controls in place will be the ones that avoid the disasters that scare everyone else away from the technology. Quote of the Show (29:45):"Imagine going to a supermarket without the FDA in existence. Is that steak gonna be okay? That's what it's like deploying AI without quality control."— Matt O’Brien Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Matt O’Brien: LinkedIn: http://www.linkedin.com/in/matt-o-brien-98318369Company Website: http://www.snowcrashlabs.com/ How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

In this special episode of In AI We Trust?, Miriam Vogel sits down with Deborah Quazzo, Managing Partner of GSV Ventures and co-founder of ASU+GSV Summit, one of the most influential gatherings at the intersection of education and innovation. Recorded as the Summit unfolds, Quazzo offers a rare behind-the-scenes look at how ASU+GSV has grown into a "multi-dimensional marketplace" — one that puts philanthropists, commercial investors, K-12 superintendents, and university presidents in the same room to tackle education's biggest challenges together. She makes a compelling case for AI's potential to create personalized learning pathways, close persistent skills gaps, and drive students toward mastery at scale — and why getting the governance right is what makes all of it possible.

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.”

In this Workday Playdate, Erin sits down with AI expert and trainer John Rood to tackle how to actually implement AI at work without breaking trust, compliance, or culture. If you've been overwhelmed by AI hype or unsure where to start, this episode gives you a clear, actionable path forward.Inside This Episode:AI at Work, the Reality Check: What organizations are actually doing with AI today and where most are getting it wrong.HR as AI Gatekeeper: How HR can lead the charge in building smart, scalable AI policies that fit your organization.Adopt Too Fast or Too Slow: The hidden risks on both ends of AI adoption and how to find the sweet spot.AI Literacy for Everyone: Why AI skills aren't optional anymore and how to train teams from beginner to advanced.From Prompts to Productivity: How structured prompting unlocks real business value even for non-technical teams.Everyday AI Use Cases: From building PowerPoints to automating onboarding and internal research – what AI can actually offer you.Culture > Tools: Why experimentation, collaboration, and psychological safety determine whether AI succeeds or fails.The 3 AI Archetypes: How to engage early adopters, skeptics, and everyone in between.Red Flags to Watch: Shadow AI, data security risks, and governance gaps that can derail your strategy fast.Your First Steps: How to assess current AI usage, gather insights, and build a baseline policy that actually works.Who This Episode Is For:HR leaders navigating AI policy, compliance, and cultureSmall business owners ready to implement AI without the chaosPeople leaders balancing innovation with responsibilityTeams looking to boost productivity with practical AI useOrganizations that want to adopt AI without losing trustHumans who know AI is here and want to use it wiselyYour FreebieYou already have strengths that make you a powerful leader. But chances are, one of them is doing more heavy lifting than you realize.Enter your free resource: The Human Leadership Edge Quiz. In just 10 quick questions, you'll discover the leadership strength that sets you apart in the age of AI and how to use it more intentionally with your team.Take the Human Leadership Edge Quiz here.Connect with John RoodJohn's LinkedInJohn's websiteConnect with Erin Diehl x improve it!Leadership Playground online membership communityErin's websiteErin's InstagramErin's TikTokErin's LinkedInimprove it!'s websiteimprove it!'s InstagramSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Learn why scaling AI is as much a human challenge as it is a technological one. Stefano Puntoni, Co-Director of Wharton Human-AI Research and Professor at The Wharton School, examines the limits of data-driven decision making in the age of AI and why insights so often fail to translate into action. He breaks down the psychology behind AI resistance and outlines the leadership and change management strategies needed to turn AI potential into real organizational impact. Key Moments: Why More Data Doesn't Lead to Better Decisions (02:26): Stefano challenges the assumption that smarter algorithms automatically produce smarter decisions. He argues that decision quality depends on rigorous conceptual thinking before turning to data. Without clearly defining objectives, alternatives, and success criteria, analytics efforts rarely translate into meaningful action. Conversational AI and the Lowering of the Cost of Action (07:26): Stefano explains how conversational AI brings decision makers closer to data by reducing friction. By lowering the cost of experimentation, AI enables managers to test hypotheses in real time instead of waiting days for analysis. This shift moves organizations from analysis paralysis to faster, more confident action. Rethinking Your Role in the Age of AI (17:16): For professionals navigating disruption, Stefano outlines two paths forward. One is becoming a complement to AI by upskilling and using the technology as a productivity multiplier. The other is pivoting toward skills AI is less likely to replace, such as strategy, orchestration, and human judgment. The AWARE Framework: Pairing Technical Rollout with Human Rollout (22:41): Stefano introduces the AWARE framework to help leaders anticipate and manage the human reactions to AI transformation. He argues that every technical implementation must be matched with structured communication, identity support, and organizational alignment. Without this dual-track approach, even well-designed AI systems can fail to gain traction. Change Management, AI Literacy, and the Gap in Organizational Readiness (31:11): Only a small percentage of organizations have formal AI change management programs. Stefano questions whether companies are truly prepared for large-scale AI transformation. He emphasizes that AI literacy, leadership accountability, and structured change management will determine whether AI investments translate into sustained performance. Key Quotes: “ The leaders need to know why we are doing AI. AI is not a strategy; AI is just a tool. So what is it that we're trying to achieve?” - Stefano Puntoni “ I think the problem is that technology is almost like taking all the oxygen from the room. There's so much attention and urgency around the tech itself that we often forget the people around it.” - Stefano Puntoni “You don't want to be the substitute to the technology because if that is what you do, then there's no future. But if you're a complement, the technology might be a multiplier of your productivity.” - Stefano Puntoni Mentions Decision-Driven Analytics: Leveraging Human Intelligence to Unlock the Power of Data The Wall Street Journal: The Boss Has a Message: Use AI or You're Fired 2025 Report Accountable Acceleration: Gen AI Fast-Tracks Into the Enterprise How AI Affects Our Sense of Self Why Gen AI Feels So Threatening to Workers Conversational AI: The Next Frontier of Digital Platform Monetization Guest Bio  Stefano Puntoni is the Sebastian S. Kresge Professor of Marketing at The Wharton School. Prior to joining Penn, Stefano was a professor of marketing and head of department at the Rotterdam School of Management, Erasmus University, in the Netherlands. He holds a PhD in marketing from London Business School and a degree in Statistics and Economics from the University of Padova, in his native Italy. His research has appeared in several leading journals, including Journal of Consumer Research, Journal of Marketing Research, Journal of Marketing, Nature Human Behavior, and Management Science. He also writes regularly for managerial outlets such as Harvard Business Review and MIT Sloan Management Review. Most of his ongoing research investigates how new technology is changing consumption and society, including how humans are adopting and evolving with AI. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Why 90% of organizations use AI but only 9% have mastered it — and how that gap is your golden ticket to freedom https://DarkHorseEntrepreneur.com Episode Summary Discover the 9 essential AI skills every digital entrepreneur and busy parent should master to create profitable side hustles and replace their paychecks. In this episode, we explore how AI-driven online entrepreneurship offers incredible marketing strategies and income opportunities. Learn why AI-skilled professionals earn significantly more and how this trend is reshaping the work-from-home landscape for parents seeking flexible, passive income streams. We'll guide you through step-by-step methods to develop these in-demand skills starting today, helping you balance entrepreneurship with family life. Tune in to gain insights into digital marketing tips, online business strategies, and how to harness AI for sustainable financial freedom while preserving precious family time. Key Timestamps & Insights 00:00 - Opening 01:15 - Episode Overview 05:00 - The Discovery 06:00 - Skill #1: AI Literacy 07:30 - Skill #2: Prompt Engineering 09:15 - Skill #3: AI Tool Proficiency 10:45 - Skill #4: Critical AI Evaluation 12:00 - Skill #5: AI-Powered Data Analysis 13:30 - Skill #6: AI Automation Engineering 15:30 - Skill #7: AI Ethics and Governance 17:00 - Skill #8: Human-AI Collaboration 18:15 - Skill #9: Continuous Learning and Adaptation 20:30 - The Bigger Picture 21:45 - Whiskered Wisdom Strategies Shared AI Literacy Development Strategy Daily 30-minute experimentation with AI tools Challenge AI responses and ask for reasoning Build intuition through hands-on practice Prompt Engineering Mastery Four-part formula: Role, Context, Command, Format Develop master prompts for recurring tasks Focus on one task type before expanding Tool Proficiency Approach Pick one AI tool and master it completely Depth over breadth strategy Integrate tools into existing workflows Critical Evaluation Framework Three-question system for every AI output Cross-reference important information Understand AI limitations and biases Automation Implementation Start with one repetitive task Use no-code platforms connected to AI services Build workflows that run independently Resources Mentioned AI Tools: ChatGPT (OpenAI) Claude (Anthropic) Microsoft Copilot Google Gemini Automation Platforms: Zapier Make.com n8n Microsoft Power Automate Learning Frameworks: OECD AI Literacy Competencies Partnership for 21st Century Learning Pyramid Principle (referenced in style) Research Sources: World Economic Forum skills projection BBC AI accuracy study Stanford University collaboration research Microsoft Copilot productivity data Action Steps to Take Immediate (This Week): Choose one of the 9 AI skills that resonates with your situation Spend 30 minutes researching that specific skill Sign up for one AI tool (ChatGPT, Claude, or Copilot) Practice the three-question evaluation framework Short-term (Next Month): Develop your first master prompt for a recurring task Identify one repetitive workflow to automate Join AI communities and networks Create a learning schedule for skill development Long-term (Next Quarter): Master your chosen foundational skill completely Begin developing a second complementary skill Apply skills to create income-generating opportunities Document your progress and results Subscribe to the AI Escape Plan newsletter for parents ready to break free from the 9-to-5 grind. Get praical, AI-powered strategies to start, grow, and streamline side hustles while protecting family time.   DarkHorseInsider.com

In this episode from the archives, Tammy is joined by Sarina Malik, a graduate from Columbia University, to discuss the role of AI in shaping the future workforce. They discuss the challenges faced by Gen Z in entering the job market, the importance of AI literacy, and the ethical implications of using AI in education. Serena also shares about her experience leveraging technology to create positive change in the world.Please note that the views expressed may not necessarily be those of NTT DATALinks: Project PearlsFuture Faces Foundation Manila Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of Airway Exchange, Jiale (Gary) Hu, PhD, RN, FAAN joins the conversation to explore how AI is reshaping the way we teach, learn, and prepare future CRNAs. He's currently ​the ​Director ​of ​Research ​and ​Global ​Outreach ​in ​the ​Department ​of ​Nurse ​Anesthesia, and his ​scholarship ​focuses ​on ​enhancing ​knowledge ​translation ​in ​healthcare ​environments, ​with ​a ​lot ​of ​his ​current ​projects ​encompassing ​AI ​integration ​in ​healthcare ​education. We'll go beyond theory and into practical implementation of AI, like integrating AI literacy into the curriculum and building custom GPT tools for student handbooks. We also want to address the concerns many educators share: ethical use, institutional support, academic integrity, prompt engineering, and how to keep humans “in the loop.”   Here's some of what you'll hear in this episode:

This week, our guest is Anthony Pugliese, President and CEO of the Institute of Internal Auditors.   Anthony joins the show as he approaches his five-year anniversary leading the IIA, reflecting on the major milestones and progress the organization has made during that time. He shares a look back at key initiatives from the past five years and discusses what the next phase could look like for the profession.   We also talk about several recent research efforts, including the 2026 Risk in Focus survey and the joint report with AuditBoard on AI driven fraud. Anthony highlights a few key trends auditors should be watching, particularly as organizations navigate emerging technology risks and evolving expectations around governance and oversight.   Finally, Anthony explains two initiatives aimed at strengthening the future of the profession: the Global Audit Committee Center, which supports stronger engagement with audit committees, and VisionU, a development program designed for new and aspiring chief audit executives.   Be sure to connect with Anthony on LinkedIn. 6:02 - AI Tips 11:03 - 5 Years as IIA President 14:32 - Strategy and the New Internal Audit Standards 14:32 - Why "Simple" Implementations Rarely Actually Simple 17:40 - Key Insights from Risk in Focus 2026 and the AI Fraud Report 21:50 - AI Literacy and Training in Internal Audit 24:26 - The Audit Committee Center 27:54 - How to Join the Audit Committee center 33:25 - Experienced CAE resources 35:35 – Final Thoughts 38:26 - Best advice for CAEs from Anthony Pugliese   Be sure to connect with Mark on LinkedIn. Also, be sure to follow us on our social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.    Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.

Gene Marks warns administrative roles face AI threats while employers prioritize AI literacy, advising businesses to update Google profiles to avoid losing significant annual revenue from outdated listings.OCTOBER 1954

Gene Marks explains that employers now prioritize AI literacy, seeking staff who can leverage technology to increase productivity and perform the work of multiple people efficiently in the modern workplace.1952