Podcasts about ai policy

Lisa Boothe is joined by Will Hild, executive director of Consumers’ Research, for a deep dive into the growing backlash against data centers and the massive infrastructure buildout powering America’s digital economy and artificial intelligence boom. Hild argues that Big Tech helped create its own political problem by failing to explain how essential data centers are to everyday life—and by ignoring legitimate concerns from the communities where these facilities are being built. He breaks down questions surrounding electricity prices, water consumption, noise, development and the impact on local communities, while explaining why he believes many fears surrounding modern data centers are overstated. Lisa and Will also examine allegations of Chinese influence operations targeting the American debate over AI and energy policy, as well as Hild’s argument that elements of the ESG movement have shifted their focus toward opposing data-center development. They discuss how distrust of Big Tech following years of censorship, deplatforming and corporate political activism has helped fuel resistance to the industry’s latest expansion. Plus, Hild explains the potential upside for communities that welcome data centers, including a larger tax base, infrastructure investment and potentially lower property taxes. He makes the case that America can expand the digital infrastructure needed to compete in the AI era—but that companies must once again recognize that the consumer comes first.See omnystudio.com/listener for privacy information.

Plus: South Korea will give its entire population free access to homegrown generative AI. And Nvidia is pausing some revenue sharing deals just weeks after announcing them. Danny Lewis hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

When the parent advocacy group Schools Beyond Screens sent out a survey to local parents regarding their thoughts on the ways PPS utilizes educational technology and screens in classrooms, parents issued remarks that too many videos were used in classrooms, and video games and screens were being used as rewards. There were also concerns about the use of “learning apps,” and many parents called for more paper-based learning. Some raised concerns that classroom technology usage didn't align with the rules surrounding tech in their homes.   The organization took this feedback, what they learned from the district and their own experiences as parents to create a draft revised tech and AI policy for Portland Public Schools. We’ll hear from Miranda Rake and Holly Hofkamp, two of the co-founders of the Portland chapter of Schools Beyond Screens, about what the draft policy entails.  

In this episode, Jo Peterson, of Cleartech Research, discusses AI security challenges with Maribel Lopez. Her commentary explores how traditional security tools fall short for AI agents and what strategies enterprises can adopt to manage AI risks effectively. Topics coveredAI security challenges and solutionsMulti-layered approach to AI agent securityToken cryptographic delegation and OBO tokensExternalized policy as code and micro-segmentationContextual and data-aware guardrailsContinuous auditing and behavioral baselinesRole of Chief AI Officer in security governanceAI risk management and operational strategies Key takeawaysTraditional security tools are not designed for AI agents and their non-deterministic behavior.Implementing least privilege for AI agents involves multi-layered strategies including token delegation and policy enforcement.Externalizing authorization to decoupled policy decision points enhances security for AI workflows.Real-time observability and kill switches are critical for managing AI agent behavior.Many organizations claim to have AI governance but lack technical implementation and operational ownership.Chapters00:00 Introduction to AI security challenges02:04 Non-deterministic nature of AI and security implications04:32 Externalized policy as code and micro-segmentation07:12 Real-time observability and kill switches09:11 Effectiveness of AI governance in organizations12:13 Immediate actions for AI security in 30 days13:45 Centralized AI traffic interception and inventory14:29 Role of Chief AI Officer in security and risk16:19 The evolving role of AI leadership in organizations17:19 Talent acquisition and upskilling for AI security STAY CONNECTEDSubscribe to the AI with Maribel Lopez audio podcast: https://www.buzzsprout.com/1947446Subscribe to my LinkedIn newsletter — AI Decoded with Maribel Lopez: https://www.linkedin.com/newsletters/ai-decoded-with-maribel-lopez-7312533413582827520/Lopez Research blog: https://www.lopezresearch.com/research/Follow me on LinkedIn: https://www.linkedin.com/in/maribellopez/Follow me on X: https://x.com/MaribelLopez

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. 

In this episode, Margaret Woolley Busse discusses the regulatory environment for artificial intelligence (AI) in the United States, with particular focus on its implications at the state and local level. She is joined by Adam Segal, who assesses the global AI race and why these dynamics matter for U.S. national security and strategic competition with China.   Host: Irina A. Faskianos, vice president for the National Program and Outreach, Council on Foreign Relations   Guests: Margaret Woolley Busse, executive director of the Utah Department of Commerce and cofounder of the Office of Artificial Intelligence Policy Adam Segal, Ira A. Lipman Chair in Emerging Technologies and National Security and director of the Digital and Cyberspace Policy Program, Council on Foreign Relations   Want more comprehensive analysis of global news and events sent straight to your inbox? Subscribe to CFR's Daily News Brief newsletter.   To keep tabs on all CFR events, visit cfr.org/event. To watch this event, please visit it on our YouTube channel: State and Local Officials Webinar: AI Policy: Global Stakes, Local Governance

Two students from Boundary Middle School were among the nearly 100 students from across the country who participated in the Day of AI where a student senate created an artificial intelligence policy in two days. Brandon Isle talked to James Cederquist and Colton Larsson about their experience and to their principal, Mark Fisk, who went with them on the trip to Boston.

Text the show!

We turn HexStrike's red team agents loose on our systems, as OpenSSH warns that AI-assisted bug hunting is already changing the security race.

In my community, Web Designer Pro, we're wrapping up a challenge on “Creating an AI Policy” for our web businesses. This is based largely off of frustrations and challenges that members have been having with clients bringing them AI designs that they want them to code and host, or taking their hard-earned and human-first designs, then using AI to manipulate them into generic slop.That's what led us to recently kick off this community challenge, and in this episode, I'll walk you through the AI Policy starter template that we came up with so you can use it for your web design business!It's below. Completely free, on me. Again, please do not copy and paste it verbatim…use it as a starting point and add your own flare without using AI, ideally!!Head to the show notes to get all links and resources we mentioned, along with a full transcription of this episode at joshhall.co/437

Writer, YouTuber and science communicator Hank Green was found to have used AI in his work, disappointing the AI-skeptics in his fanbase. Marina Bolotnikova, senior reporter for Vox's Future Perfect section, talks about one big lesson to come out of the controversy: you need a personal AI policy. Stock illustration by Mikhail Seleznev via iStock/Getty Creative Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This upcoming school year, districts across the country have a new tool they can use: A national artificial intelligence policy. It was created in July by 98 teens, representing all 50 states.They gathered in Boston for the Massachusetts Institute of Technology Day of AI, created a mock senate, and drafted and passed their own legislation that helps schools navigate artificial intelligence. Representing Minnesota were students and staff from St. Cloud. St. Cloud Tech High School student Bihmanji Acho and Principal Molly Kensy joined Minnesota Now to share more about the experience.

John is joined by Sriram Krishnan, former Senior White House Policy Advisor on Artificial Intelligence.  They discuss the Trump administration's AI development policies, including the administration's AI Action Plan which Sriram largely developed.  The United States remains the global leader in artificial intelligence but its advantage over China is more narrow than many assume. Sriram believes that maintaining American leadership in the field requires reducing regulatory burdens, expanding access to computing resources, strengthening domestic infrastructure, and ensuring that allies have access to American technology rather than restricting its distribution. In short, the government should “let Silicon Valley cook."While the administration has favored deregulation, it has also intervened to slow the release of some particularly advanced AI models. These positions are consistent because the government wishes to encourage rapid innovation but also protect critical infrastructure. Models with advanced cyber capabilities that could expose vulnerabilities in banking systems, power grids, military systems, healthcare networks, and other essential services will face heightened scrutiny.At the same time, state regulation of AI is fragmented. The administration believes that the current patchwork of fifty different regulatory systems creates excessive compliance burdens and hampers innovation. That is why the administration is attempting to pass national AI legislation. The proposed legislation emphasizes four principal areas: intellectual property and the protection of creators' rights, the impact of data centers on local communities, protections for children, and the reduction of harmful bias and censorship.John and Sriram also discuss the potential development of a voluntary pre-review process for new AI models that present particularly high cybersecurity risks. This process is being developed by the administration in close cooperation with the major AI companies. World leaders, including President Xi of China, have suggested that AI be regulated by an international body. Several leading figures in Silicon Valley have endorsed this idea. However, Sriram believes that it would be a mistake to allow an international bureaucracy which may not have American interests at heart control the cutting-edge technology currently being developed in the U.S. A different proposal put forward by Demis Hassabis would establish a Self-Regulatory Organization composed of the most significant AI developers. The proposed SRO would establish recognized industry standards.Although the United States is the overall leader in artificial intelligence, Chinese companies are increasingly formidable competitors, particularly in open-weight models. The next several years will likely be critical in determining the global balance of power in artificial intelligence.Podcast Link: Law-disrupted.fmHost: John B. QuinnProducer: Alexis HydeMusic and Editing by: Alexander Rossi

Send us Fan MailOnly 26% of nonprofits tell donors when AI helped write to them. 76% of donors say they should be told. That's not small! It's a fifty-point trust gap that grows every time an organization reaches for a new tool without a plan for it.This week, Jena Lynch digs into what's actually pulling nonprofits toward AI right now (hint: it's burnout, not hype), why donors can tell when a human checked out of the process, and the socioeconomic costs that rarely make it into the fundraising conversation. She shares four practical moves any organization can put in place this week, no tech background required.What you'll learn:Why AI-governed organizations are pulling ahead while everyone else is improvisingThe three numbers behind nonprofit AI's donor trust problem, and why donors notice even when they can't name what feels offThe real cost behind the tools that never shows up in a donor letterFour moves to close the trust gap, starting with a policy you can write todayResources for you from this episode:Free nonprofit AI policy template download to get you started hereAn easy-read blog with a full breakdown on how to use AI responsibly as a nonprofit,  here.Donorbox is a trusted fundraising platform serving more than 100,000 organizations worldwide, helping them raise over $4 billion and counting. Learn more at donorbox.org.Enjoying the show? Subscribe for more practical fundraising strategies, leadership insights, and tools to help your nonprofit grow sustainably.This podcast is for educational purposes only and is not intended as legal or financial advice. Please consult a professional advisor for guidance specific to your organization.Support the show

We are continuing our investigation into the implications of the Economic Singularity, the time when we need a new economic system because full automation by AI means people can no longer obtain the resources they need by doing jobs.Our guest today is Oliver Ritchie, the UK Policy Lead at the Future of Life Institute. Previously, he was a Senior Fellow at the Institute for AI Policy and Strategy, and a Research Scholar at GovAI. He also spent over six years in policy formation at the Treasury, which is where many of the brightest minds in UK public sector work, and where the really big decisions are made, because the Treasury hold the purse strings.We wanted to have Oliver on the show because he has written two thought-provoking articles on the Economic Singularity, a paper called “The Fiscal Challenge of Advanced AI”, and a Substack post which summarises it, called “Can we afford to support workers whose jobs are displaced by AI?” Selected follow-ups:"Oliver Ritchie" - Future of Life Institute"Return on Intelligence" - Oliver's Substack"Can we afford to support workers whose jobs are displaced by AI?"  - Substack article by Oliver"The Fiscal Challenge Of Advanced AI" (PDF) - article by Oliver"The case for G20 coordination on wealth taxes" - article by Liam Byrne"US super-rich 'pay almost no income tax'" - BBC"Trump to meet AI leaders to discuss US investment in their companies" - BBC"Getting Ahead of AI's Economic Disruption" - Windfall Trust"AI's Role in Reshaping Power Distribution" - Future of Life Institute project"Can you safely build something that may kill you?" (about Sam Altman) - by Kelsey Piper"Exploring Machine Consciousness" - Prism / Conscium podcast, cohost Calum Chace"The biggest blockages to successful governance of advanced AI" - Review by David Wood, contains section "Why a pause isn't that inconceivable""Trump considering AI controls after OpenAI hacking incidents" - BBC"Pacing the Frontier" - A statement from over 1,300 employees of frontier AI companies"Why a Custom AI Just Beat Every Frontier Model" - about Thinking Machines Lab and Bridgewater"The On-Device LLM Revolution" - by Steve Roddy"AI Economics Institute (AIEI): Prospectus" - UK Government"Minister of State for the Future of Work" - Kate Dearden MP (LinkedIn)"'We Must Act Now': Sixteen Nobel Laureates Join Leading Economists and AI Researchers in Call to Prepare for AI's Economic Transformation" - Stanford Digital Economy Lab"A Potential Path to Safer AI Development" by Yoshua Bengio, introduces Scientist AI"Bitter lesson" (general AIs will in due course out-perform specific AIs) - Wikipedia"Why Tool AIs Want to Be Agent AIs" - GwernMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

DZ Kalman, fellow at the Berkman Klein Center, research fellow at the Shalom Hartman Institute, senior advisor at Sinai & Synapses, and host of Belief in the Future, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to explore what religious traditions can teach AI governance.DZ and Kevin discuss religious responses to AI, Jewish technoculture, kosher supervision as a model for AI certification, and the limits of AI use in faith contexts. They also connect these traditions to contemporary debates about alignment, institutional trust, human dignity. Hosted on Acast. See acast.com/privacy for more information.

Following a recent cybersecurity breech by OpenAI, in which two of their in-progress models autonomously hacked into the AI company Hugging Face, lawmakers from both sides of the aisle are pushing for an "AI Kill Switch" bill in Congress.  On Today's Show:Brendan Bordelon, AI and tech influence reporter at Politico, discusses Washington's changing approach to AI regulation amid growing concerns over data security in every sector, and and unpacks how tech giants are responding to shift. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week, Nvidia launched a splashy push for an open source AI security alliance alongside companies like Microsoft, SpaceX, and Palantir — notably absent were OpenAI and Anthropic. We break down what the split means for the industry and the Trump administration's own shifting opinions on AI. Plus: how Claude conversations turned up in Google and Bing search results, and the massive feat of how four whales were rescued from Canada to Chicago. Articles mentioned in this episode: Private Claude Chats Exposed in Google and Bing Search Results | WIRED Silicon Valley Is Completely Divided Over Chinese AI | WIRED  The Trump Administration Is at War With Itself Over AI Regulation | WIRED Inside the Wild Rescue Mission That Took 4 Beluga Whales to Chicago | WIRED   System Update Newsletter: The Best of WIRED  Join WIRED's best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from the newest ventures to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Plus: OpenAI says two of its models hacked a company in a cybersecurity test gone wrong. And U.S. data-center operator TECfusions plans to go public. Danny Lewis hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI can be fantastic for relieving a lot of administrative burdens, allowing individuals to focus on more complex tasks that need a human touch. However, many are all too quick to install and integrate, which can lead to crucial vetting processes being skipped. So many applications have also integrated various AI features, and while you may have vetted the software before these were available, those new AI features still need scrutiny before widespread use within the business. In this episode, we dive into why there is a need for a more cautious approach to implementing AI and share some tips on basic Information Security checks you can do to ensure an AI application or integration is safe to use.   You'll learn ·      The link between AI and increasing data breaches ·      Recent incidents as a result of AI misuse or error ·      Key considerations for the implementation of AI technology ·      11 Information Security checks for AI tools     Resources ·      Isologyhub ·      ISO 42001 Webinar ·      IAF Accreditation Check   In this episode, we talk about: [02:25] Episode Summary – Stephanie Churchman explains the need for caution when exploring the implementation of AI tools, and provides guidance on some information security checks you can perform to ensure your data stays safe. [02:45] The link between AI and increasing data breaches: Data breaches tripled since the wide adoption of AI in early 2024 and studies are saying there is a clear link between these two events. Here in the UK alone, 32% of businesses experienced a cyber-attack or data breach in 2023, compared to 43% of businesses in 2025, with us already steadily on track to surpass that in 2026. Does this mean people shouldn't use AI at all? No, of course not, but we do need far more caution before you simply start using a tool. [03:35] Recent incidents as a result of AI misuse or error: ChatGPT copycat – There was a ChatGPT clone available as a web extension that was downloaded by some 1.5 million users. It functioned just like ChatGPT, answered queries and provided links to legit sources. But, in the background, it was scrapping passwords and gathering information that was to be sold off without users knowledge. Sage Copilot - The popular accounting software had to temporarily suspend Sage Copilot after a data-isolation flaw occurred. This incident caused an issue where users who prompted the AI to list recent invoices ended up with incorrectly surfaced financial records belonging to unrelated businesses. This was a major security issue, especially for an application thousands of businesses rely on to track their financial records. Google Gemini – Google Gemini was found to have been abused by bad actors for data reconnaissance. One particular group were building profiles on major cybersecurity and defense companies and were looking to gather specific technical job roles and salary information. Google's threat intelligence team characterized this activity as a blurring of boundaries between professional research and malicious reconnaissance. Their soft touch approach allowed the bad actors to craft tailored phishing personas and to further identify potential soft targets to compromise. [06:30] Key considerations for the implementation of AI technology: Any software or technology you plan on introducing into the business that will interact with your and your customers data should be subject to clear vetting procedures, with clear rules for use to follow. Before integrating an AI tool, ask yourself, is the tool you want to use: a)    Relevant b)    Safe c)    Ethical Ethical may sound strange, and will depend on what you're using an AI for. Take CV sorting for example, many studies have shown that AI's can have an inherited bias based on their training data. This has also now evolved into AI based recruitment tools preferring AI generated CV's over human written ones. From a safety standpoint, think about the data you are feeding into those recruitment tools, that's personally identifiable information, full names, phone numbers, emails and possibly even addresses. A full profile for an individual. Is that system your using closed, do you know if you consented to having any input data used for further training? Don't just assume that inputted data won't be used beyond your control. If that recruitment AI tool gets hacked, who do you think is liable for the breach? Is it the AI tool developer or the business that input the data? You think the answer would be clear, but the legality of all this is still being debated. [09:10] 11 Information Security checks for AI tools: #1: Have an AI Policy and AI Integration approval process in place - Many businesses will already have an AI policy in place, most are very generic, so we recommend looking at the guidance provided by ISO 42001 to see what good looks like for an AI policy. You should also create a clear approval process that any AI tools must pass BEFORE people start using them. This should be clearly communicated to the wider team, and there should be a method to manage these checks such as a ticketing system to kick off the process. #2: Understand where your data actually goes - Find out whether inputs are used to train the vendor's models. These inputs can include prompts, uploaded files or even customer data depending on what the tool is. You also need to find out how long that data is retained, and whether it's stored in a specific jurisdiction. You can look for answers to these in a DPA (Data Processing Agreement), don't rely on the basic marketing blurb they state on the website. If those answers aren't provided, contact the tools support or basic enquiries to find out. #3: Check for a SOC 2, ISO 27001, or equivalent certification – This is an easy check for vendor's security posture. Absence of certification shouldn't automatically disqualify a vendor or tool, but it should prompt more due diligence, not less. Even with a certification in place, you also need to double check that it's valid. ISO 27001 for example will need to be certified by a UKAS accredited certification body for those in the UK. For overseas, you will have your own ISO accreditation bodies, which can be verified on the IAF website. #4: Map out third-party and subprocessor risk - Most AI tools sit on top of other infrastructure like cloud hosting, underlying foundation models and additional analytics tools. You should ask for a subprocessor list to fully understand who else touches the data. #5: Test for prompt injection and data leakage - If the tool interacts with external content such as emails, documents or web pages, it can potentially be manipulated by malicious instructions hidden in that content. Businesses should ask vendors how they mitigate this and ideally test it themselves. #6: Clarify access controls and permission scoping - This is especially the case for AI agents or tools with system integrations. You need to establish if the tool operates with the same permissions as the user, or whether it has broader access. Overprivileged AI agents may operate independently with no human oversight. 'Human in the loop' has become a common phrase within cyber security for a reason, you always need a point of human oversight to ensure the AI is doing what it's supposed be doing and is doing so safely. #7: Ask about model update and versioning transparency - You need to ensure that the vendor won't just silently swap out the underlying model for its AI tools, as this can introduce sudden behaviour changes in the tool itself. Transparency is a key component of emerging AI security frameworks and regulations such as ISO 42001 and the EU AI Act. If a vendor isn't willing to tell you when they're making major changes to their tools, then it's not a vendor you want to entertain. #8: Evaluate the output reliability and hallucination risk in context - For security-adjacent or compliance-adjacent AI tools, factually wrong outputs are a risk. AI can have a tendency to 'hallucinate' data or outcomes and then present them as fact. So, ask the vendor what guardrails exist and whether their tools' outputs are auditable / traceable. They should know what data was used to train their models, or where their models are pulling data from. If they don't or can't control what data is being used, then it's not a tool you can 100% trust. #9: Review incident response and breach notification commitments - If the vendor is breached, do you how quickly you would be notified, and what their recovery process looks like? If you hold ISO 27001 and ISO 22301, or simply have a business continuity plan in place then you will already have similar procedures in place for peace of mind for your own customers, so why should you settle for any less? And just like your clients would expect, breach notifications and expected recovery times should be contractually defined, not just assumed. #10: Consider the supply-chain risk of the vendor itself - This tech is still relatively new, and so newer AI vendors may have smaller security teams and less mature processes than what you may be used to with more established providers.  However, startup pace doesn't mean you have to tolerate the start-up risk. Consider all of the previously mentioned steps, if they don't have a lot of that in place, then they may not be mature enough yet for you to go ahead with. This doesn't mean you have to automatically disqualify them, if they have a clear plan of action for growth, which shows a clear focus on increased security and transparency within a reasonable timeframe, then it's still worth considering. #11: AI tool monitoring and Kill switch – In addition to this initial vetting procedure, you should also have a process in place to continuously monitor these AI tools too. Many AI tools aren't static, they'll update and become better or possibly introduce issues as they will inevitably face the risk of bugs and other technical problems as they roll out updates. If a tool is consistently encountering issues, continuous monitoring allows this to be flagged up as a security issue. Which is where you'll also need a kill switch in place if an AI tool is behaving unsafely. It's important that you know how to isolate it and remove it from your systems. AI tools are more ingrained that your typical software, often designed to work in tandem with existing apps rather than as a standalone system. This will mean that some tools will have access to possibly sensitive data, something that needs to be protected if the AI tool experiences issues that could lead to that data being compromised. The relevant staff, likely your IT team, need to have a clear process for what to do in those scenarios. If you'd like any assistance with implementing ISO standards, get in touch with us, we'd be happy to help! We'd love to hear your views and comments about the ISO Show, here's how: ●     Share the ISO Show on Twitter or Linkedin ●     Leave an honest review on iTunes or Soundcloud. Your ratings and reviews really help and we read each one. Subscribe to keep up-to-date with our latest episodes: Stitcher | Spotify | YouTube |iTunes | Soundcloud | Mailing List

Creative Strategies' Austin Lyons talks with TITV Host Akash Pasricha about AMD's new Helios AI rack scale system and how it stacks up against Nvidia. We also talk with Neil Chilson, Head of AI Policy at the Abundance Institute, and Ryan Fedasiuk, Fellow at the American Enterprise Institute, about the US AI policy debate reignited by China's Kimi K3 model. The Information's Cory Weinberg discusses human data labeling startup Mercor's concentrated revenue growth, and we get into why Anthropic is lagging in voice and chat AI with Author of Applied AI Laura Bratton.Articles discussed on this episode: https://www.theinformation.com/articles/mercors-fast-growth-relies-biggest-ai-companies-documents-showhttps://www.theinformation.com/newsletters/applied-ai/anthropic-best-powering-customer-service-new-data-showhttps://www.theinformation.com/newsletters/ai-agenda/new-kimi-k3-model-means-u-s-china-ai-raceSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/Chapters:00:00 - Introduction00:01 - AMD Launches New Helios AI System00:12 - Kimi K3 ReIgnites US AI Policy Debate00:28 - Mercor's Fast Growth Relies on Biggest AI Companies00:37 - Anthropic Lags in Voice and Chat AI

When Marc Miller became Minister of Canadian Identity and Culture, he inherited Ottawa's oldest, unfinished file in tech policy: regulating social media. He took office at a global turning point. Australia had just banned social media for kids under 16, with Denmark, France, Turkey, and the U.K. quickly following suit.  The proliferation of AI chatbots added urgency to his new file. Ignored in previous policy cycles, AI chatbots are now embedded in the lives of millions of Canadians. And in the wake of the tragedy at Tumbler Ridge, the risks of these unrelated systems are no longer theoretical. In part two of our series on Canada's landmark new digital legislation, Minister Miller joins us to talk about his bill, The Safe Social Media Act, which restricts platforms for minors unless platforms can prove they're safe and sets world-first rules for AI chatbots. It's the federal government's bid to hold Big Tech accountable. If you missed part one, you can check out our last episode with Minister Evan Solomon on the federal government's plan to bring Canada's privacy laws into the AI era. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this special episode of Why Distance Learning, hosts Seth Fleischauer, Allyson Mitchell, and Tami Moehring skip the guest interview and trade hot takes drawn from their recent run of research conversations — with Michael Barbour, Bobbi Sandberg, Jered Borup, and Kristen DeBruler. Each host came in with their own list, then picked which ones to dig into together. What surfaces is a set of specific, evidence-backed reframes: where parents' instincts to help go wrong, why remote isolation is a design failure rather than an inherent cost of distance learning, and what's actually breaking down when students sense their teachers are using AI on their feedback.Together, the hosts work through the Academic Communities of Engagement framework's head/heart/hands distinction, and why the "heart" and "hands" work — trust, executive-functioning support — protects kids more than parents jumping in on academic content. They connect a CBS News piece on remote-worker isolation to Michael Barbour's finding that logging into school was, for some students, the most normal part of their pandemic day, arguing that isolation is what happens when culture isn't designed on purpose, not something baked into the medium. And they spend the back half of the episode on AI: not the cheating problem schools have mostly focused on, but the mirror-image trust break when students catch teachers using it on feedback without saying so — and why an honest, disclosed, assignment-by-assignment AI policy beats a blanket ban nobody actually follows.Key topics:Head, heart, hands: the Academic Communities of Engagement (ACE) frameworkWhy parental "head" support (re-teaching content) can do more harm than goodRemote work isolation as a design failure, not a modality problemMichael Barbour's finding on pandemic remote learning and student mental healthTeacher-student trust and AI-generated feedbackAssignment-by-assignment AI disclosure as an alternative to blanket bans"Improved" vs. "more" parental involvementLinks & ResourcesPrior Why Distance Learning episodes referenced: Michael Barbour (Part 1, Part 2, and Part 3), Helaine Marshall, Bobbi Sandberg, Jered Borup (Part 1 & Part 2), Kristen DeBrulerAcademic Communities of Engagement (ACE) framework: https://edtechbooks.org/encyclopedia/academic_communities_of_engagement_ace_frameworkBehind the Screen: Exploring Parental Roles in K-12 Online Education (Sandberg & Borup, Journal of Research on Technology in Education, 2025): https://www.tandfonline.com/doi/full/10.1080/15391523.2024.2447729Cuccolo, K. & DeBruler, K. (2024). A Look Back At 3 Years of Michigan Virtual Research. Michigan Virtual. https://michiganvirtual.org/research/publications/a-look-back-at-3-years-of-michigan-virtual-research/Make It Mindful episode with Katherine Heavers on the biology of trust (referenced by Seth): https://mim.bepodcast.network/episodes/85-katherine-heaversCBS News piece on remote work and isolation (referenced by Tami): https://www.cbsnews.com/news/remote-work-job-isolation-mental-health/Derek Thompson, "A World Without Work," The Atlantic (July/August 2015): https://www.theatlantic.com/magazine/archive/2015/07/world-without-work/395294/Ikigai (Japanese concept referenced by Allyson): https://www.japan.go.jp/kizuna/2022/03/ikigai_japanese_secret_to_a_joyful_life.htmlNote: this is a hosts-only episode, so there's no guest bio or guest-provided links to confirm — just the items above referenced on air.About the Hosts: Seth Fleischauer is the founder of Banyan Global Learning and host of Why Distance Learning. Through Banyan, he designs live virtual programs that connect K-12 classrooms to global peers and expert facilitators — building the kind of structured, human-centered distance learning the podcast explores. See https://banyangloballearning.com/Tami Moehring and Allyson Mitchell work with CILC, the Center for Interactive Learning and Collaboration, to help educators implement high-quality live virtual learning experiences across grade levels. Discover more at CILC.org.

Today, we’re bringing you the best from the KUOW Newsroom. First, Democrats are working to flip a few Republican seats in the state legislature this year. One of them is in farm country in central Washington. Next, artificial intelligence is evolving rapidly, and many local governments are trying to figure out how, or if, they should be using it. In Snohomish County, local leaders are trying a new experiment by convening what’s known as a “civic assembly.” And finally, while many families can access free lunches during the school year, experts say summer creates a hunger gap. We can only make Seattle Now because listeners support us. Tap here to make a gift and keep Seattle Now in your feed. Got questions about local news or story ideas to share? We want to hear from you! Email us at seattlenow@kuow.org, leave us a voicemail at (206) 616-6746 or leave us feedback online or on the KUOW App.See omnystudio.com/listener for privacy information.

The landscape of AI policy is changing rapidly. From a one year data center moratorium in New York to sweeping new energy laws in Thailand, it's clear that governments around the world are exploring radical new approaches to artificial intelligence. AI, Energy and Climate host David Sandalow and Siliconsciousness host David Rothkopf join forces to examine the far-reaching debate over AI policy to examine what's working and what the future might hold.  This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices

The landscape of AI policy is changing rapidly. From a one year data center moratorium in New York to sweeping new energy laws in Thailand, it's clear that governments around the world are exploring radical new approaches to artificial intelligence. AI, Energy and Climate host David Sandalow and Siliconsciousness host David Rothkopf join forces to examine the far-reaching debate over AI policy to examine what's working and what the future might hold.  This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices

Australia's start-up entrepreneurs react to the federal government's new, firmer hands-on AI regulation.

Australia's start-up entrepreneurs react to the federal government's new, firmer hands-on AI regulation.

Australia's start-up entrepreneurs react to the federal government's new, firmer hands-on AI regulation.

Contemporary technology governance has shifted from rule-based regulation to a landscape defined by administrative leverage and directive-driven decisions. This dynamic is seen in both the cybersecurity and AI sectors, where agencies such as the U.S. Department of Defense and companies including OpenAI and Anthropic navigate obligations and approvals through administrative action rather than statutory change. As a result, MSPs and IT service providers must recognize that the durability of their offerings and client architectures increasingly hinges on how they respond to rapid, unpredictable shifts in the governing environment rather than on fixed compliance deadlines or product release dates. A notable example of this mechanism is the Department of Defense's suspension of the rollout of Phase Two of the Cybersecurity Maturity Model Certification (CMMC), as reported by Federal News Network. About 80,000 companies had been preparing for new third-party assessment requirements, but these assessments have been paused pending a 60-day review. Despite the pause, the underlying data protection requirements for defense contractors remain in force, demonstrating that while compliance deadlines can disappear overnight, fundamental security obligations persist. Additional cases amplify the trend toward directive-based governance. The U.S. Commerce Department lifted export restrictions on Anthropic's Fable 5 and Mythos 5 AI models after new safeguards were implemented, following the same pattern previously used to impose those restrictions. Similarly, OpenAI's GPT 5.6 model was released to the public only after a voluntary government review concluded, illustrating that administrative reviews, not boardroom decisions, can dictate technology availability. Concurrently, other governments such as China are employing similar tactics, with Reuters reporting that Chinese authorities have met with local AI firms to discuss restricting overseas access to advanced models. These parallel moves across geopolitical boundaries indicate a structural reliance on executive discretion rather than legislative clarity. The operational impact for MSPs, IT service providers, and technology leaders is a heightened exposure to contract risk and pricing volatility. Service commitments anchored to deadlines, default settings, or product availability are susceptible to abrupt policy reversals or administrative interventions, translating to sudden revenue shortfalls and reactive client management. The recommended response is to audit current commitments, identify those pegged to mutable triggers rather than enduring obligations, and systematically re-anchor contract language and client communication to core outcomes and standing requirements. This preparation mitigates the risk of unpaid work, scope renegotiation, and unplanned operational disruption when another directive-driven policy shift occurs. 00:00 Three Government Switches in Three Weeks  04:07 Why AI Is Governed by Leverage, Not Law 06:46 CMMC Paused — Your Obligations Didn't 09:27 Why Do We Care?  Supported by:  Pax8 Guardz   

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. 

“AI for All.” That's what Canada's federal government is calling its national AI strategy. It makes the case for building AI with confidence: a homegrown supercomputer by 2031, 60 per cent adoption by 2034. But the new strategy offers little about how it will govern the technology.  Ottawa attempted to answer those concerns with two landmark bills: the Safe Social Media Act, which regulates social media platforms and AI chatbots, and the Protecting Privacy and Consumer Data Act, which brings Canada's privacy laws into the AI era. Together, these bills give the country something it's never had: a single digital regulator with power to hold companies responsible.  It's the most ambitious tech policy move this country has seen. And it's drawing fire from every direction. Critics say a superregulator gives too much power to the government, that privacy and data should be treated separately, and that this is part of a wider government effort to control speech. To dig into the details, we sat down with Evan Solomon, Canada's first Minister of Artificial Intelligence and the architect of this agenda. We talk about why data means something new in the age of AI, how this regulator would actually work, and whether it could have stopped something like Grok's controversial nudification feature – a case the current Privacy Commissioner says he's powerless to stop. Mentioned: Canada's National Artificial Intelligence Strategy: AI for All Backgrounder: Government of Canada introduces legislation to Protect Canadians' Privacy in the Digital Age Bill C-34, the Safe Social Media Act Elon Musk's Grok AI tool under fire over digital undressing Canada's privacy commissioner expands investigation into ‘X' over ‘Grok' Yes, Musk's Grok chatbot is 'digitally undressing' women and children • FRANCE 24 English Privacy Commissioner of Canada investigation into the Grok chatbot and sexualized deepfakes finds companies violated privacy law Commissioner-initiated complaints concerning X Corp.'s and X.AI LLC's compliance with PIPEDA Canada has access to Anthropic's powerful Mythos AI model, minister says Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Mario Joos has been inside some of the biggest creator operations in the world - including two and a half years with the MrBeast team and a stint as fractional CEO of the Stokes Twins - and what he found working with some of these big teams may surprise you.In part 2 of our interview we get into the real revenue picture for creators - what the revenue mix looks like, why AdSense-plus-sponsorships is a ceiling, not a strategy, and what it actually looks like when a creator builds a business that generates money independent of their content output. We also cover team structure, the CEO hiring problem, which Mario describes as the hardest thing a creator will ever do and one that even the biggest names in the industry keep getting wrong.And then there's the mindset conversation, which is where things get honest. Mario talks about obsession as a prerequisite, fear-based motivation as a real driver for high performers, and the moment he realised that the creators who don't change aren't lacking information - they're prioritising ego over their actual goal.This is part two of our conversation. If you're building a creator business and you want to understand what the next level actually looks like, this is the episode.Topics covered: creator business structure · revenue models beyond AdSense · niche monetisation · team hiring and operations · the CEO problem · platform diversification · AI policy · mindset and motivation

This week's episode of Win The Hour, Win The Day Podcast interviews, Dorien Morin-van Dam.   Is your team using AI without any rules to keep you safe? Join us as Dorien Morin-van Dam shows you why every business needs an AI plan and simple guardrails. In this helpful talk, you'll learn: Why your team is already using AI, even if you don't know it. The six easy parts that make up a good AI policy. How a chatbot with no rules cost two big companies a lot. Why you should always check facts, because AI can make things up. Get ready for smart, real tips you can use today! Don't miss this chat that can keep your business safe and honest. Win The Hour, Win The Day! www.winthehourwintheday.com   Podcast: Win The Hour, Win The Day Podcast   Facebook: https://www.facebook.com/winthehourwintheday/ LinkedIn: https://www.linkedin.com/company/win-the-hour-win-the-day-podcast   You can find Dorien Morin-van Dam at: LinkedIn: https://www.linkedin.com/in/dorienmorinvandam/

For nearly 160 years, the International Telecommunication Union has helped the world communicate across borders, from the telegraph to the telephone, television, satellite, the internet, and now AI. In this episode of Tools and Weapons, Brad Smith sits down with Doreen Bogdan, Secretary-General of the ITU, to discuss why connectivity remains one of the world's most important foundations for opportunity. The conversation explores the 2.2 billion people who are still unconnected, the estimated $2.8 trillion needed to connect the world by 2030, and the partnerships required to reach the hardest-to-connect communities. Doreen shares stories from the field, including a refugee camp in Chad where a small computer center gives people access to learning, health care, financial tools, and family connections. Brad and Doreen also discuss the rise of AI for Good, the challenge of scaling solutions that address real-world needs, and the role of global cooperation in shaping responsible AI governance. From early warning systems that can help save lives during natural disasters to digital skilling and infrastructure investment, this episode examines how technology can create opportunity when access, trust, and partnership come together. Listen to the full episode and join the conversation about building a more connected and inclusive digital future.

Mario Joos has been inside some of the biggest creator operations in the world - including two and a half years with the MrBeast team and a stint as fractional CEO of the Stokes Twins - and what he found working with some of these big teams may surprise you.In this episode, Mario breaks down the uncomfortable truth about large creator businesses that behind the polished content and massive subscriber counts, most operations are held together with bandage fixes and reactive hiring. The systems look impressive from the outside. Inside, it's usually a different story.We get into the real revenue picture for creators why AdSense-plus-sponsorships is a ceiling, not a strategy, and what it actually looks like when a creator builds a business that generates money independent of their content output. We also cover team structure - the four-stage content operation that separates world-class channels from everyone else and the CEO hiring problem, which Mario describes as the hardest thing a creator will ever do and one that even the biggest names in the industry keep getting wrong.And then there's the mindset conversation, which is where things get honest. Mario talks about obsession as a prerequisite, fear-based motivation as a real driver for high performers, and the moment he realised that the creators who don't change aren't lacking information - they're prioritising ego over their actual goal.This is part one of a two part conversation. If you're building a creator business and you want to understand what the next level actually looks like, this is the episode.Topics covered: creator business structure · revenue models beyond AdSense · niche monetisation · team hiring and operations · the CEO problem · platform diversification · AI policy · mindset and motivation

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!

In this episode of Why Distance Learning, your hosts talk with Kristen DeBruler — Assistant Director of the Michigan Virtual Learning Research Institute — about what makes online learning work for K-12 students, and what quietly undermines it. Drawing on survey data from over a thousand virtual teachers and fresh findings on student and teacher AI perceptions, her work reveals where the conventional promises of online learning diverge from what the data actually shows. The episode centers on a tension that practitioners rarely name directly: the flexibility that makes online learning valuable for some students can work against those who are still developing the self-regulation skills to use it well.Together, the hosts and Kristen explore how a researcher inside a state virtual learning organization sets and pursues a research agenda — including the unusual advantage of having direct access to student data. They examine common failure modes in classroom-level research, particularly how vague research questions leave teachers vulnerable to the biases they're trying to surface. Kristen walks through her team's findings on the gap between how students and teachers define acceptable AI use, and why that ambiguity is already showing up in the classroom. The conversation turns to teacher feedback as the connective tissue of asynchronous online learning — and what the data shows about what makes it work and what makes it hollow. And Kristen makes a pointed case about applying adult learning research to K-12 populations: the data doesn't transfer as cleanly as the field sometimes assumes, and the consequences land on students who are still building the executive functioning skills that adult learners already have. Her pacing research is illustrative: students who cross unit boundaries — not just move around within one — end up with final grades 9.5 points lower on average, a gap large enough that teachers should treat it as a warning signal, not background noise.Key topics:Researcher role inside a state virtual learning organizationSetting a research agenda: legislative directives vs. internal needsAvoiding bias in classroom-level researchThe AI acceptable-use gap between students and teachersTeacher feedback as the primary relationship-building mechanism in async coursesWhat makes feedback substantive (personal, formative, actionable) vs. hollowAI-generated feedback and trust erosion in online learningStudent pacing deviation and its effect on learning outcomesExecutive functioning support for K-12 online learnersCautions in applying adult learning research to adolescentsLinks & ResourcesMichigan Virtual: https://michiganvirtual.orgMichigan Virtual Digital Backpack (blog): https://michiganvirtual.org/blog/Michigan Virtual research publications: https://michiganvirtual.org/research/publications/Cuccolo, K. & DeBruler, K. (2024). A Look Back At 3 Years of Michigan Virtual Research. Michigan Virtual. — Source of the AI policy gap data (30%/80%) and AI facilitator vs. task-completion findings. https://michiganvirtual.org/research/publications/a-look-back-at-3-years-of-michigan-virtual-research/Cuccolo, K. & DeBruler, K. (2024). Out of Order, Out of Reach: Navigating Assignment Sequences for STEM Success. Michigan Virtual. — Source of the 9.5-point pacing deviation finding. https://michiganvirtual.org/research/publications/out-of-order-out-of-reach-navigating-assignment-sequences-for-stem-success/DeBruler, K. & Harrington, C. (2024). Key Strategies for Supporting Disengaged and Struggling Students in Virtual Learning Environments. Michigan Virtual. https://michiganvirtual.org/research/publications/key-strategies-for-supporting-disengaged-and-struggling-students-in-virtual-learning-environments/Harrington, C. & DeBruler, K. (2021). Key Strategies for Engaging Students in Virtual Learning Environments. Michigan Virtual. https://michiganvirtual.org/research/publications/key-strategies-for-engaging-students-in-virtual-learning-environments/Michigan Virtual report on student and teacher AI perceptions (2026): [LINK — get from guest; published ~2 weeks before recording]Jared Borup's ACE for Community Framework: https://edtechbooks.org/encyclopedia/academic_communities_of_engagement_ace_framework Virtual Learning Leadership Alliance (VLLA): https://virtuallearningalliance.org/Karle Delo, Michigan Virtual (AI policy): https://michiganvirtual.org (search staff directory)Why Distance Learning Michigan Virtual Episodes: See list for episodes with Dr. Tovah Sheldon and two with MV alum Chris Harrington. https://www.cilc.org/News-(1)/Why-Distance-Learning-Podcast.aspxMake It Mindful Michigan Virtual Episodes: See list from Seth's other podcast for episodes with Karle Delo and two with Aaron Baughman. https://mim.bepodcast.network/episodesGuest Bio: Kristen DeBrulerKristen DeBruler is the Assistant Director of the Michigan Virtual Learning Research Institute, where she has spent more than 14 years studying K-12 online learning — including student pacing, teacher communication, mentor support, special populations, and AI use in virtual environments. Her research is oriented toward practitioners: she publishes findings in formats designed for teachers, administrators, and program leaders to act on, not just cite. She holds a PhD in Educational Psychology and Educational Technology from Michigan State University.About the HostsSeth Fleischauer is the founder of Banyan Global Learning and host of Why Distance Learning. Through Banyan, he designs live virtual programs that connect K-12 classrooms to global peers and expert facilitators — building the kind of structured, human-centered distance learning the podcast explores. See https://banyangloballearning.com/Tami Moehring and Allyson Mitchell work with CILC, the Center for Interactive Learning and Collaboration, to help educators implement high-quality live virtual learning experiences across grade levels. Discover more at CILC.org.

Dean Ball, author of Hyperdimensional and until now a senior fellow at the Foundation for American Innovation, joins Nathan to announce he is joining OpenAI to build a team focused on frontier AI policy. They examine the first year of America's AI Action Plan, Dean's concerns about export controls and intelligence-community testing, and his broader argument against concentrating frontier AI decisions inside a small circle of government officials. The episode frames frontier labs as emerging centers of political and economic power, where consequential choices about internal deployments and recursive self-improvement may happen before public release or regulation. The stakes are who gets to shape AI governance as capabilities accelerate: federal agencies, states, labs, independent verifiers, households, or some fragile mix of them all. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/dean-ball-on-joining-openai-new-power-centers-frontier-ai-policy-main-character-energy/ Mercury: Command is Mercury's new conversational interface, giving you natural-language access to your finances and helping you take actions within your existing permissions and approval policies. Visit https://mercury.com to learn more and apply online in minutes. Sponsor: Claude: Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Your team is already using AI. The question is whether they know what they should and should not be putting into it. Most business owners hand their people a powerful tool with zero guardrails and wonder why things feel chaotic. No policy. No boundaries. No plan. Just fragmentation. In this episode, BOP Coaches Shawn "Dickie" Stinson and Brandon "Donny" Gray sit down with Matthew Lingafelt, BOP's fractional Tech Stack role, to break down what an AI policy actually looks like for a small business and why you need one before your next employee opens an AI tool without a second thought. This is not about fear. This is about being intentional with one of the most powerful tools your business will ever use. ✅ Why "information in is information stored" and what that means for your business risk ✅ The three buckets of information and how to decide what belongs in AI and what does not ✅ How to build an AI policy that is one page, functional, and actually gets followed ✅ Why using AI without a project structure is costing your team time and memory ✅ The difference between AI as a complement to your business versus a substitute for your people ✅ What "you should not sacrifice ethics on the altar of efficiency" means for how you lead You do not need a 10-page document. You need a clear framework your team can actually use. Is your business using AI intentionally, or just hoping nobody puts the wrong thing in the wrong place?

The Canadian government is going all in on AI, without understanding the real effects of the technology. Hadrian Mertins-Kirkwood joins Paris Marx to discuss Mark Carney's push for large-scale investment in AI, despite being unable to describe how adoption will work, how Canadians will benefit, and what policies will be implemented to mitigate growing risks and harms. Hadrian Mertins-Kirkwood senior researcher and political economist at the Canadian Centre for Policy Alternatives.The podcast is made in partnership with The Nation. Production is by Kyla Hewson. Support the show on Patreon.Also mentioned in this episode:Hadrian wrote about the Canadian government's new AI strategy.Paris wrote about the AI strategy and the new social media policy.The Canada Revenue Agency chatbot is expensive and giving incorrect information.The Canadian Immigration Department is using AI that hallucinates when reviewing applications.AI tools intended for Ontario doctors are providing incorrect information.Here's an overview of the federal AI strategy, “AI for All.”Support the show

This week, Dave and Ben sit down with N2K's lead analyst Ethan Cook to examine President Trump's recent Executive Order centered on AI. With this order, the Trump administration is looking to increase its oversight of new AI models to better account for potential security vulnerabilities before public releases, marking a key development in the administration's AI policy stance. While this show covers legal topics, and Ben is a lawyer, the views expressed do not constitute legal advice. For official legal advice on any of the topics we cover, please contact your attorney.  Links to today's stories: Trump Signs Executive Order Seeking Oversight of A.I. Models. Get the weekly Caveat Briefing delivered to your inbox. Like what you heard? Be sure to check out and subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Caveat Briefing⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a weekly newsletter available exclusively to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠N2K Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ members on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠N2K CyberWire's⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ website. N2K Pro members receive our Thursday wrap-up covering the latest in privacy, policy, and research news, including incidents, techniques, compliance, trends, and more. This week's Caveat Briefing ⁠⁠⁠examines several recent bills passed by the New York state legislature that look to regulate data centers and data collection practices. Curious about the details? Head over to the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Caveat Briefing⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for the full scoop and additional compelling stories. Got a question you'd like us to answer on our show? You can send your audio file to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠caveat@thecyberwire.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Hope to hear from you. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI regulation in the United States is at an inflection point. A new executive order, emerging legislation, and shifting political dynamics are rapidly reshaping the policy landscape for AI developers and adopters.  In this episode of The Data Chronicles, we examine the administration's latest executive order on AI innovation and security, which introduces a voluntary framework for pre-release review of frontier AI models – an approach some compared to FDA-style oversight. We also explore how it differs from prior safety-focused directives and more aggressive regulatory models abroad.  The discussion highlights what this moment means for companies across the ecosystem, from major tech firms helping shape policy to startups navigating commercialization. At the core is a key tension: policymakers are unusually open to new ideas but the window to influence these frameworks may be narrower than it appears.

AI is making it easier than ever to create content, but it's also making it harder to sound like yourself. The morning show cast and crew discuss what happens when AI starts to become your voice, why authenticity is becoming more valuable in a sea of automated content, and how creators can stay relevant when everyone has access to the same tools. From podcast discovery and video consumption trends to the role of personal experience in building trust, the conversation keeps coming back to one question: what makes your content uniquely yours? In a world where AI can do more than ever, your perspective may be the one thing it can't replicate.Episode Highlights:[01:47] Podcasting by the Numbers[04:48] Audacity 4 Update[06:13] Business Bite: Ad Revenue Trends[09:23] Netflix and Tubi Enter Podcasting[11:54] Why Podcast Discovery Keeps Getting Harder[13:46] Do We Really Need Video?[20:05] Trailers That Convert Listeners[23:46] When to Update Your Podcast Trailer[26:24] Trailer Congruency Tips[27:50] AI Exposed Marketing Work[29:07] Using AI Without Burnout[36:19] AI-Flooded SEO Content[45:29] Disclosure and AI Policy[49:28] Final Takeaways and Next ShowLinks & Resources:Indie Podcasters: A Roadmap to Your First $500:https://www.contentcreatorsaccountant.com/blog/indie-podcasters-under-500/Mike Teaches Audacity: Audacity 4 Traininghttps://www.youtube.com/channel/UCinVymsMw5SfibkbOrdlaXQPodcast Index Podcast Statistics:https://podcastindex.org/apps?appTypes=appFeature Your Podcast on the Podcasting Morning Show:https://PodcastingMorningShow.com/spotlightThe Podcasting Morning Show:⁠⁠www.podcastingmorningshow.com⁠⁠Ways to Watch or Listen:⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcastingmorningshow.com/joinus/Meet the PMS Cast and Crew:⁠⁠https://podcastingmorningshow.com/people⁠⁠Join The Empowered Podcasting Facebook Group:⁠⁠www.facebook.com/groups/empoweredpodcasting⁠⁠⁠Book A Free Call With Marc:https://calendly.com/ironickmedia/freestrategycallApplication To Submit Your Show For Evaluation:⁠⁠⁠⁠⁠https://podcastingmorningshow.com/eval⁠⁠Join us every other Monday at 8 AM ET for the Obsession Worthy Podcasts:⁠⁠⁠http://podcastingmorningshow.com/owp/⁠⁠Join us LIVE every weekday morning at 8 am ET (US) on ⁠Clubhouse⁠: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcastingmorningshow.com/clubhouse⁠⁠Powered by⁠⁠⁠ ⁠iRonickMedia.com⁠⁠⁠⁠ and⁠ ⁠ContentCreatorsAccountant.com⁠⁠Send in your mailbag questions:⁠⁠⁠⁠ https://www.podcastingmorningshow.com/contact/⁠⁠⁠⁠ or ⁠marc@ironickmedia.com⁠Want to be a guest on The Podcasting Morning Show? Send me a message on PodMatch, here:https://podmatch.com/hostdetailpreview/1729879899384520035bad21b

Newt talks with Neil Chilson, Head of AI Policy at the Abundance Institute about the latest AI news. They discuss Anthropic’s IPO and the current AI investment surge. Chilson maintains it is a genuine boom rather than a speculative bubble, driven by massive datacenter and energy buildouts that are already generating substantial revenue. Their conversation turns to Pope Leo’s 42,000-word encyclical on AI. Chilson praises its emphasis on human flourishing but notes its academic skepticism toward technology and markets and observes that it appears only four years into the AI era, long before the full benefits and risks are known. They discuss China as a “fast follower” pursuing “good enough” AI models powered by abundant energy and released as open source, in contrast to U.S. labs’ focus on proprietary frontier models, and Chilson cautions that China may gain economic and military advantages by rapidly integrating AI across its economy and systems even without surpassing U.S. model quality.See omnystudio.com/listener for privacy information.

Julia Regier is a policy and research manager at MIT's Stone Center on Inequality and Shaping the Future of Work, where she focuses on workforce and policy impacts. Her path here was anything but straight, from studying philosophy at Wellesley to an MBA at Yale to translating dense economics research for people who don't speak economics. We talk about what the data shows for workers without college degrees (spoiler: it's not great, and it's been getting worse since 1980), why the self-checkout AI surveillance story is a perfect case study in automation gone wrong, and what it would take to redirect AI development toward something that works for workers, not just around them. We also get into the market failure at the heart of how AI is being built, why a handful of people setting the vision for all of us is a problem, and what policy levers could shift things. Julia also makes the moral case, loud and clear, for a living wage, and we're here for it. Chapters 00:00 - Intro - Felicia and Rachel talk local politics, civic assemblies, and more 20:28 - Welcome Julia! Her Nonlinear Path: Philosophy, Recruiting & Landing at MIT 25:00 - Worker Ownership, Co-ops & Why It's Harder Than It Sounds 29:35 - Job Quality for Workers Without College Degrees: What the Data Shows 37:00 - AI Surveillance, Self-Checkout & the Annoyance Factor 43:45 - Taking the Long View: Policy Impacts & the Case for Investing in Children 49:40 - Who's Setting the Vision for AI (and Why That's a Problem) 54:26 - Pro-Worker AI: Policy Levers That Could Actually Change Course 62:00 - Gender, Diversity & Who's Missing from the Research 65:20 - If You Could Change One Thing + Closing Thoughts Visit us at InclusionGeeks.com to stay up to date on all the ways you can make the workplace work for everyone! Check out Inclusion Geeks Academy and InclusionGeeks.com/podcast for the code to get a free mini course.

rsync's founder came back, patched real security bugs with AI help, and triggered an open source meltdown. Plus, two more projects reject AI-generated code as the community's newest fault line cracks wide open.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:ConnecTen Internet — Get $35 off your order total with Jupiter35

The Enlightened Family Business Podcast Ep. 161: AI Is Coming Fast — What Family Businesses Should Do Now with Jack Potvin   In this episode of the Enlightened Family Business Podcast, host Chris Yonker is joined by AI product builder Jack Potvin for a fast-moving, practical conversation about artificial intelligence and what privately held and family businesses need to do — right now — to stay competitive. Jack built his AI foundation working on one of the world's first computer vision models for sports before the rise of large language models, and now dedicates his work to helping independent businesses harness this technology before the window closes. Chris and Jack make the case for why family businesses — historically outperformers — are at a critical inflection point: large corporations are pouring tens of billions into AI adoption, and the playing field will not stay level for those who wait. Together they explore what AI actually is, the two core value drivers of efficiency and capability expansion, where to start when your team is at zero, why governance policies matter more than most owners realize, which specific tools deliver immediate value, and what AI genuinely cannot replace — deep domain expertise, broken process diagnosis, and nuanced human judgment. They also dive into real-world case studies from a beverage manufacturer and an insurance agency that have completely transformed their operations through AI, and close with a grounded, practical framework for family business leaders ready to take their first meaningful steps. Episode Chapters ·       0:00   Welcome and Framing the Opportunity ·       1:00   Meet Jack Potvin — From Sports AI to Family Business Adoption ·       4:06   Why Family Businesses Are at a Competitive Inflection Point ·       7:28   What Is AI? Defining LLMs, Efficiency, and Capability Expansion ·       13:18  Should Your Company Have an AI Policy? ·       16:04  Addressing the Fear: Job Loss, Data Privacy, and the Real Risks ·       22:10  Where to Start: Daily Drivers, Existing Tools, and Filling the Gap ·       26:54  Best AI Tools Right Now: Read AI, Whisper Flow, Notion, Gamma ·       30:29  Operational Efficiency, Analytics, and Business Development ·       31:11  Two Real-World Case Studies: Beverage Manufacturer and Insurance Agency ·       35:23  What AI Is Great At — and Where Humans Must Lead ·       40:40  AI for Business Development, Outbound, and CRM Automation ·       45:59  Strategic Planning, Knowledge Bases, and Building Your Company's AI Brain ·       50:20  Q&A and Closing Resources   Websites ·       businessautomation.com ·       chrisyonker.com   About Jack Potvin Jack Ryan Potvin is an entrepreneur and AI strategist focused on helping businesses adopt practical artificial intelligence solutions that improve efficiency, decision-making, and competitive positioning. As the founder of Business Automation, Jack works with companies to integrate AI into everyday business operations — from automating workflows and improving internal knowledge systems to enhancing marketing, sales, and strategic insight. Jack specializes in translating rapidly evolving AI capabilities into practical tools that business leaders can implement today, without requiring large technical teams or massive technology investments. He is particularly passionate about helping family-owned and employee-owned companies adopt AI in ways that strengthen their long-term competitiveness while preserving the leadership values and culture that make these businesses successful.

Kevin Frazier explains the shift from "doomer" vs. "accelerationist" labels to more nuanced AI policy. He highlights the cybersecurity risks posed by advanced models like Mythos and the vulnerability of national infrastructure. (15/16)1980 IBM 370

Cameras and sensors are just about everywhere, recording your face, how you walk, where you go, your heart rate. And AI is making it easy to amass and analyze that data about all of us.  Privacy attorney Anne Toomey McKenna joins Host Flora Lichtman to talk about the ubiquity of biometric surveillance and how data brokers are gathering and selling our information, including to law enforcement.  Guest:  Anne Toomey McKenna is an attorney specializing in privacy and biometric surveillance. She's on the Advisory Board for AI Policy at the Institute for Electrical and Electronics Engineers - USA.  Other episodes you may enjoy: Why Worry About My Data If I Have Nothing To Hide? New Products Collect Data From Your Brain. Where Does It Go? Transcripts for each episode are available within 1-3 days at sciencefriday.com. Want SciFri gear? Check out our new shop! Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that's keeping you up at night? Call us: 877-4-SCIFRI