Podcasts about ai innovation

Courtney Cox, Associate Professor of Law at Fordham Law School, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss her forthcoming article, Hardwiring Hercules?.It's a great read that builds on Dworkin's idea of a perfect adjudicator, Hercules. Courtney argues that the debate over a “right to a human decision” has missed a central problem: normative uncertainty. Machines may struggle to explain their decisions, but humans often struggle too—especially when judges are uncertain about what they ought to do. At the same time, the common response that people merely have a right to a “better decision,” whether by human or machine, assumes we know what “better” means. Courtney's paper challenges both sides of the debate and asks what AI governance should look like when regulators, engineers, and judges cannot simply “hardwire Hercules.” Hosted on Acast. See acast.com/privacy for more information.

Taylor Johnston, President of the Institute of Applied Engineering at the University of South Florida, discussed a secure research environment developed with AWS and the federal government. This initiative allows researchers to work with classified information, progressing from unclassified to top-secret levels. The partnership uses AWS GovCloud for multi-domain, multi-accessible research. Many organizations train models on unclassified data, but classified data has different nuances. Analysts need to build that model in IL6 using those data sets. Johnston highlighted the university's proximity to key military commands and its results-based research, emphasizing the importance of human performance and AI in military applications. During the interview, Johnston observed that AI is an enabler for productivity, not a job stealer. The university aims to bridge gaps among academia, the defense industrial base, and venture capital, helping enhance operational capabilities.  

July 21st 2026, Court Leader's Advantage PodcastEpisode 106AI promises greater efficiency, lower costs, and better public service—but it also raises concerns about privacy, bias, job displacement, and accountability. This panel explores where courts should draw the line.Artificial intelligence is currently having a difficult moment. Hardly a day goes by without headlines highlighting a new AI concern. Consider just a few of the issues currently dominating public conversation: • Corporate leaders are investing billions in AI while simultaneously announcing layoffs, fueling fearsabout job displacement and economic insecurity.• Communities across the country are opposing the construction of new data centers due to concernsabout their massive consumption of water and electricity.• Educators and researchers worry that AI has weakened students' critical thinking and problem-solving skills by making information and answers available almostinstantaneously.• Privacy advocates warn that AI enables governments, employers, and corporations to monitor individuals more closely than ever before, raising concerns about the emergence of a surveillance society.• Others fear that AI-generated videos, voices, images, and documents have become so convincing that distinguishing fact from fabrication is almost impossible. As a result, AImay undermine trust in elections, journalism, and public institutions. These concerns are real and deserve careful consideration.Yet they often overshadow the remarkable accomplishments AI has already achieved. Consider just three examples:• Google's DeepMind developed an AI system that analyzes mammogram images that, in some cases, detect breast cancer earlier and more accurately than expert radiologists, reducing both false positive and false negative results.•AI-powered wildfire detection systems now analyze live camera feeds, satellite imagery, weather data, and vegetation conditions to identify wildfire smoke within minutes.  This saves valuable time for emergency first responders and ends up protecting lives and property.•Arizona State University has implemented AI-powered educational tools that provide personalized learning experiences through conversational tutors, simulated learning environments, and on-demand academic support. AI is also becoming increasingly embedded in courtoperations. It can summarize documents, draft reports, assist with legal research, identify patterns within large datasets, and automate a wide range of administrative tasks. Even courts that have not formally adopted AI are likely employing staff who are already experimenting with these tools in theirday-to-day work. This reality raises a number of difficult questions.As with many technological revolutions, the central challenge is not simply deciding what AI can do. The central challenge may be deciding what AI should do. How much responsibility should be delegated to algorithms? Where must human judgment remain indispensable? And how can courtsstrike the proper balance between innovation, efficiency, fairness, and accountability?Today's Panel TJ BeMent Court Administrator, 10th Judicial Administrative District in Athens, GeorgiaRick Pierce Judicial Programs Administrator, Administrative Office of the Courts in Mechanicsburg, PennsylvaniaKarl Thoennes Court Administrator, 2nd Judicial Circuit Court, in Sioux Falls, South DakotaCreadell Webb Diversity, Equity, and Inclusion Officer, 1st Judicial District of Pennsylvania, PhiladelphiaWhere should courts draw the line on AI? Email your comments or questions to CLAPodcast@nacmnet.org. Selected comments may be featured in a future episode.  Become part of theConversation. Submit your comments and questions to: CLAPodcast@nacmnet.org  

Nils Tracy, founder of Authorship, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to detail the challenges and solutions to deploying AI in highly sensitive contexts.Authorship enables users to map their AI policies to myriad use cases--from on-device AI tools to those connected to the cloud. It's a direct effort to tackle concerns that as AI use cases become more frequent and varied deployers may struggle to ensure compliance with key policies and laws. Hosted on Acast. See acast.com/privacy for more information.

VOV1 - Từ hôm nay đến ngày 19/7, vòng chung kết Chương trình Vietnam AI Innovation Challenge 2026 (VAIC 2026) chính thức diễn ra tại Hà Nội.Đây là cuộc thi Hackathon phát triển các ứng dụng trí tuệ nhân tạo quy mô lớn, kéo dài liên tục 48 giờ, nằm trong khuôn khổ Chương trình Thách thức Đổi mới sáng tạo Việt Nam 2026 do Trung tâm Đổi mới sáng tạo Quốc gia (NIC), Tập đoàn Meta, Tổ chức AI for Vietnam, Tập đoàn FPT và Đại học Duy Tân phối hợp tổ chức. Đặt trong bối cảnh Việt Nam đang đẩy mạnh phát triển khoa học, công nghệ, đổi mới sáng tạo và chuyển đổi số theo Nghị quyết 57 của Bộ Chính trị, Vietnam AI Innovation Challenge (VAIC 2026) hướng tới xây dựng nguồn nhân lực AI chất lượng cao, đồng thời tạo môi trường để các nhà phát triển trẻ rèn luyện năng lực xây dựng sản phẩm AI gắn với nhu cầu thực tiễn.Cũng trong khuôn khổ sự kiện, Trung tâm Đổi mới sáng tạo Quốc gia cũng phối hợp với UNESCO và các đối tác chính thức phát động Olympic Trí tuệ nhân tạo Quốc tế 2027. Đây là lần đầu tiên Việt Nam đăng cai một kỳ thi Olympic quốc tế chuyên sâu về trí tuệ nhân tạo, dành cho học sinh trung học phổ thông, sinh viên và cộng đồng AI toàn cầu, góp phần phát hiện, bồi dưỡng tài năng và thúc đẩy hợp tác quốc tế trong lĩnh vực AI.Bà Trần Tố Uyên, Giám đốc quốc gia Tổ chức AI for Vietnam cho biết: "Thời gian vừa qua, trên toàn cầu cũng như ở khu vực thì AI đã được thúc đẩy mạnh mẽ. Tại Việt Nam, chúng ta có Nghị quyết 57 và AI cũng đã được xác định là một trong những công nghệ chiến lược của quốc gia. Chúng ta cũng sở hữu những lợi thế như nguồn nhân lực, thị trường và có sự hậu thuẫn của chính sách vô cùng thuận lợi. Lần đầu tiên, với AI, chúng ta có cơ hội đi cùng với các nước trên thế giới trong làn sóng này. Trước đây, các cuộc cách mạng khác như cuộc cách mạng về công nghiệp, về hơi nước hay internet thì chúng ta thường đi sau các nước trên thế giới, nhưng với AI, chúng ta có lợi thế cạnh tranh vô cùng lớn để đi cùng các nước trên thế giới."

In this special episode of The Practice Podcast, we bring you a featured panel from Bast Amron‘s 8th Annual Business Advantage Forum, moderated by Peter Klock. Business leaders from consumer goods, legal consulting, and private equity explore how organizations can successfully navigate rapid technological change while embracing artificial intelligence, innovation, and the evolving future of work.Joining the discussion are Glory Alcantara, Director of Multicultural Marketing at General Mills; Chad Volkert, Global C-suite Leader and Managing Director at Protiviti; and Jeff Evans, President of Volta Global. Together, they share practical insights on how organizations can foster innovation, implement AI responsibly, and prepare their teams to thrive during periods of constant transformation.The conversation examines how artificial intelligence is reshaping leadership, workforce development, and business strategy. Rather than viewing AI as a replacement for people, the panel discusses how organizations can leverage technology to eliminate repetitive tasks, empower employees, strengthen decision-making, and create more time for creativity, critical thinking, and innovation.The panel also explores the importance of psychological safety, transparent leadership, AI governance, and employee upskilling. Throughout the discussion, the speakers emphasize that successful AI adoption depends not only on implementing the right technology, but also on building cultures rooted in trust, continuous learning, and purposeful leadership.Audience questions expand the discussion into topics including AI's impact on the legal profession, the future of professional services, data privacy, protecting competitive advantages, emerging leadership roles, and balancing technological innovation with authentic human connection.Key Topics:Leading organizations through AI-driven disruptionBuilding a culture of innovation and psychological safetyAI governance, data privacy, and responsible adoptionUpskilling employees for the future of workHuman-centered leadership in a rapidly evolving workplaceAI's impact on legal and professional servicesProtecting competitive advantage in an AI-driven economyPractical strategies for implementing AI across organizationsTune in for an engaging discussion on leadership, artificial intelligence, and how organizations can embrace innovation while preparing for the future of work.Streaming now on  YouTube, Spotify, Amazon Music, and Apple Podcasts. We are also in the top ten percent of listened-to podcasts globally.

Send us Fan MailToday's guest has a rare combination of deep bedside credibility and forward-looking innovation, and is now helping shape the future of healthcare technology.Amy Thourot is a nurse, entrepreneur, healthcare innovator, and the Founder and CEO of Realize-365. After 30-plus years of working in a wide array of specialties, from intensive care to transplant surgery, and from orthopedics to geriatrics, Amy saw firsthand how much time clinicians spend trying to piece together fragmented medical records. Rather than accepting that as "just the way things are," she set out to solve the problem.Today, through Realize-365 and its platform Pulse Health, Amy is using artificial intelligence to help clinicians understand a patient's medical history in under a minute, reducing cognitive burden and helping healthcare teams focus on what matters most: the patient.We talk about nursing, innovation, leadership, AI in healthcare, and why nurses may be uniquely qualified to build the future of healthcare technology.In the five-minute snippet:  Jeepers Creepers, where'd you get those peepers?      For Amy's bio, visit my website (link below).     Contact The Conversing Nurse podcastInstagram: https://www.instagram.com/theconversingnursepodcast/Website: https://theconversingnursepodcast.comYour review is so important to this Indie podcaster! You can leave one here!  https://theconversingnursepodcast.com/leave-me-a-reviewWould you like to be a guest on my podcast? Pitch me! https://theconversingnursepodcast.com/intake-formCheck out my guests' book recommendations! https://bookshop.org/shop/theconversingnursepodcast I've partnered with RNegade.pro! You can earn CE's just by listening to my podcast episodes! Check out my CE library here: https://rnegade.thinkific.com/collections/conversing-nurse-podcastThanks for listening!

Joe Seddon, Founder and CEO of Zero Gravity, joins Kevin Frazier, director of the AI Innovation and Law Program at the University of Texas School of Law and a senior fellow at the Abundance Institute, to discuss AI, social mobility, higher education, and the future of opportunity. Zero Gravity is a UK-based platform that helps launch students from low-opportunity backgrounds into leading universities and prosperous careers. The conversation explores whether AI can scale the kinds of mentorship, admissions advice, tutoring, and career guidance that have historically been available only to students with strong networks. The two also examine the future of elite credentials, the role of universities in preparing students for an AI-transformed labor market, and whether AI will disrupt entry-level white-collar work in ways that require new approaches to retraining, apprenticeships, and lifelong learning. Hosted on Acast. See acast.com/privacy for more information.

The next generation of emerging technologies is reshaping science, industry, and the global economy. Which innovations are most likely to transform our lives over the next five years? How can countries harness AI and innovation at scale while strengthening international cooperation?

Adi Tantravahi, founder of Cofactor, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to talk about how AI can help cut through the administrative red tape that underlies and, in many ways, undermines the modern healthcare system.Cofactor's AI platform focuses on denial management—an area where hospitals routinely lose revenue because insurance claims go unchallenged due to staffing constraints. Kevin and Adi unpack the economics of healthcare billing, why administrative overhead has grown so dramatically in American medicine, and how AI systems capable of autonomously managing appeals and reimbursement workflows might reshape the financial infrastructure of hospitals. Hosted on Acast. See acast.com/privacy for more information.

Andy Masley joins Kevin Frazier, director of the AI Innovation and Law Program at the University of Texas School of Law and a senior editor at Lawfare, and Alan Rozenshtein, research director at Lawfare and associate professor at Minnesota Law, to unpack the increasingly contentious issues related to data centers.They discuss Andy's efforts to challenge what he sees as misleading claims about data center water use, land use, electricity rates, and local community impacts. Be sure to check out Andy's substack here. Hosted on Acast. See acast.com/privacy for more information.

Nick Olsen is the Head of AI Innovation at Mainsail Partners, where he works hands-on with 25 scaling vertical SaaS companies helping them adopt AI in engineering and product. Before joining Mainsail, Nick spent 20 years helping build ResMan from a 3-person startup into a scaled software company serving the multifamily property management market. Today, Nick leads a team of engineers who embed directly inside portfolio companies to build AI systems alongside their teams. They don't just advise from the sidelines—they commit code, ship features, and help technical leaders redesign how modern software organizations operate. Nick explains why AI-first engineering is no longer a competitive advantage for SaaS companies—it's becoming the minimum requirement to stay competitive. The winners won't just write code faster. They'll build better products, make better decisions, and deliver dramatically more customer value with AI-native teams. Key Takeaways Table Stakes — AI-first engineering is no longer optional for serious SaaS companies. It's becoming the minimum operating standard. Roles Are Collapsing — Product, design, and engineering are moving closer together as AI removes slow handoffs and bottlenecks. Velocity Misleads — Shipping 3x more features doesn't matter if customers don't want them. Outcome beats output. Judgment Wins — AI makes building cheaper and faster. Strategic product judgment becomes more valuable, not less. Agents Matter — The best teams increasingly treat AI agents like teammates with jobs, accountability, and measurable performance. UX Is Changing — Customers may increasingly stop logging into SaaS apps and interact through agents instead. Quote from Nick Olsen, Head of AI Innovation at Mainsail Partners "We are well past any point of skepticism or any engineer that says, Hey, this isn't gonna be here forever, or this isn't my thing.  Engineers no longer should be starting in the traditional code editor, the IDE. Engineering has moved to much more of an agentic approach where you're starting in the terminal or or some sort of Claude Code or Codex app. "How we're building software has completely and radically shifted. Companies are starting to move past treating AI as a tool. They're starting to treat AI as the way that they actually operate. It's not a tool like Excel is for a financial analyst, but that's actually where I start.  "We're trying to see people transition to treat AI as an actual teammate and actually affecting change within their organization.. And that's from the product and management side as well as to the engineering side." Links Nick Olsen on LinkedIn Mainsail Partners on LinkedIn Mainsail Partners website Podcast Sponsor – Full Scale This podcast is sponsored by Full Scale, one of the fastest-growing software development companies in any region. Full Scale vets, employs, and supports over 300 professional developers, designers, and testers in the Philippines who can augment and extend your core dev team. Learn more at fullscale.io. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

Kal Clark, co-founder of Zauron Labs, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to explain how AI is already reducing diagnostic errors in radiology.Kal details how Zauron's AI system functions as a second-look safety layer, reviewing imaging exams for high-impact missed findings before those results translate into patient outcomes.Kal and Kevin then discuss the scale of diagnostic error in modern healthcare, the institutional barriers that have prevented systematic second reviews, and how open-source AI models combined with on-premise deployment might allow hospitals to build their own diagnostic intelligence while protecting patient data. Hosted on Acast. See acast.com/privacy for more information.

Governments are racing to deploy AI. Most have the foundations, but struggle to translate them into faster, smarter execution without losing public trust. BCG's Miguel Carrasco and Daniel Selikowitz break down what separates the countries getting this right from those still stuck — and what every leader can take from their example.You'll Learn:Why AI governance frameworks are quietly becoming the biggest barrier to AI deploymentHow to tell the difference between necessary caution and unnecessary bureaucracyHow and why some countries are already getting AI governance rightLearn More:Trust Imperative 5.0: https://on.bcg.com/3QO3fOmBCG's Latest Thinking in Public Sector: https://on.bcg.com/4f69kisMeet the ExpertsMiguel Carrasco, BCG Managing Director & Senior Partner: https://on.bcg.com/4gGH8UzDaniel Selikowitz, Managing Director & Partner: https://on.bcg.com/4oMRKTYWatch The So What from BCG on YouTube: https://www.youtube.com/playlist?list=PLMJgyXjV5gMI9JV-GcF_D1Y6zyf1Eab_0Chapters(0:00) AI Is Already in Government. Here's Where You'll Find It.(3:12) Public vs. Private: Why the Stakes Are Different(4:40) What Leaders Are Saying Across Industries(6:15) What Role Does Fear Play in AI Adoption?(8:14) Inside Governments Deploying AI(9:55) How Are Governments Governing AI?(11:56) How Do Countries Compare on AI Adoption?(13:37) Useful Caution Vs. Unnecessary Bureaucracy in AI Implementation(15:42) Who Is Keeping Pace with AI Innovation?(16:46) What Private Sector Leaders Can Learn from Governments(19:34) What Should Leaders Do Now?This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

Artificial intelligence is rapidly shaping economic transformation, competitiveness, public services, and the future of work. At the same time, it raises important questions about trust, skills, inclusion, data protection, and the role of governments in guiding technological change. In this episode, Scott Bradley, Vice-President of Government Relations at OpenText, discusses how countries in the Americas and the Caribbean can participate meaningfully in emerging innovation while addressing the broader impacts of AI on societies and labour markets. His intervention explores public concern around artificial intelligence, the need to build digital capacity, and the role of governments in demonstrating trusted and practical uses of AI. He also highlights the importance of starting with small, useful applications that solve real problems before scaling more complex projects. The episode also examines data sovereignty and the need for countries to protect their most critical information while continuing to benefit from global innovation. Bradley reflects on hybrid models that allow countries to remain open and competitive while building secure domestic systems and protecting sensitive data. The conversation concludes with a reflection on national AI strategies as a legislative and policy priority. Bradley emphasizes the importance of protecting data, building trust in AI systems, supporting responsible government adoption, and ensuring that AI remains human-centred, with people actively involved in how these systems are designed and used. This episode was recorded during the 22nd ParlAmericas Plenary Assembly and 10th Gathering of the Open Parliament Network, titled “Parliamentary Leadership for Shared Prosperity: Advancing Trade, Innovation, and Security in a Changing World,” held in Ottawa, Canada, from May 19 to 22, 2026. Please find the meeting content available at the following link.

Dhruv Diddi, founder of Solo Tech, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the emerging frontier of Physical AI. Solo Tech builds infrastructure that allows developers to deploy AI models directly onto robots and edge devices rather than relying on cloud-based computation. In other words, think about allowing AI systems to operate in remote areas that have traditionally struggled to leverage the latest and greatest tech.Kevin and Dhruv look into what it takes to move AI systems out of digital environments and into the physical world. They also chat about the idea of "gyms" for AI and policy challenges associated with highly-sophisticated robots becoming more ubiquitious. Hosted on Acast. See acast.com/privacy for more information.

In this episode of High Velocity Radio, Lee Kantor interviews Jen Austin, founder of Riply Media, about how AI is helping radio stations deliver timely, hyperlocal news without replacing the human connection that makes radio unique. Jen shares how Riply Media streamlines news gathering, supports understaffed stations, and empowers broadcasters to stay relevant by combining […]

Compensation professionals are no longer asking whether AI will change their work—they're asking how, where, and how fast.  Teams are experimenting with tools like Claude, Copilot, and ChatGPT to help analyze data, draft communications, support pay decisions, and streamline compensation processes.   Vendors are rolling out AI features and workflows in their products.    At the same time, leaders are navigating legitimate questions about data privacy, governance, accuracy, and trust.  Some see AI as the next major transformation in compensation management. Others worry we're moving faster than our ability to validate the outputs these tools produce.  The reality is probably somewhere in between.  In this episode of Comp and Coffee, Ruth Thomas is joined by Paul Reiman, Founder and Managing Partner at Novo Insights, and Giac Soliman, Founder of Range and former Head of Compensation, to explore how AI is reshaping compensation—and what leaders should do next.  Resources: The comp pro's definitive guide to AI - https://www.payscale.com/research-and-insights/ai-compensation-management-guide Connect with Giac on LinkedIn: https://www.linkedin.com/in/gsman/?skipRedirect=true Connect with Paul on LinkedIn: https://www.linkedin.com/in/paulreiman/ Connect with Ruth on LinkedIn: https://www.linkedin.com/in/ruththomas1/ Email: coffee@payscale.com for listener questions and suggestions 

In this episode of the HR Leaders Podcast, I had an inspiring conversation with Arun Serikar, VP, HR Technology, Digital Platforms & AI Innovation, Corp Functions at Schneider Electric, to unpack what it really takes to simplify HR technology, scale AI, and build a better employee experience across a global enterprise.Arun shares how Schneider Electric went from 545 HR applications to 303, reducing tech debt, breaking regional silos, and building stronger governance around the tools, data, and platforms used across the business. He explains why employees are not looking for the “best system”, they are looking for fewer systems that actually work together.Most importantly, Arun breaks down how Schneider Electric is using AI to move HR from a back-office function to an intelligence layer for the enterprise, from internal chatbots and ticket reduction, to performance review AI assistance, agentic workflows, and a future where employees can complete tasks without jumping between systems.

Episode Topic: ND Perspectives: Guardians of AI InnovationArtificial intelligence is no longer a distant concept; it is actively reshaping how we live, work, and connect right now—whether your daily life is high tech, low tech, or completely unplugged. But as this technology accelerates, who is ensuring it ultimately serves humanity? Claim your front-row seat to the future and unpack complex issues like data privacy, massive marketplace recalibrations, human autonomy and ethics. Bring your most pressing questions to this panel of faculty and alumni experts for discussion and audience Q&A. You will leave with renewed clarity on how the ND family is a force for good in the digital age.Featured Speakers:Dolly Duffy '84, Executive Director, Notre Dame Alumni Association, University of Notre DameAdam Kronk '02, '09 MNA, Director of Research and External Engagement, Institute for Ethics and the Common Good, University of Notre DameNitesh Chawla, Frank M. Freimann Professor of Computer Science and Engineering, Lucy Family Director for Data & AI Academic Strategy, Founding Director of the Lucy Family Institute for Data and Society, University of Notre DameGina Ayala Claxton '01, Corporate Vice President, U.S. Retail & Consumer Goods, MicrosoftHeng Xu, Professor of Information Technology, Analytics, and Operations, Mendoza College of Business, University of Notre DameJosh Zavilla '11, Head of National Security, Palantir TechnologiesThis podcast is a part of the ThinkND Series titled Reunion 2026.Thanks for listening! The ThinkND Podcast is brought to you by ThinkND, the University of Notre Dame's online learning community. We connect you with videos, podcasts, articles, courses, and other resources to inspire minds and spark conversations on topics that matter to you — everything from faith and politics, to science, technology, and your career.Learn more about ThinkND and register for upcoming live events at think.nd.edu.Join our LinkedIn community for updates, episode clips, and more.

Shane Tews, host of Explain to Shane and nonresident senior fellow at AEI, joins Kevin Frazier, director of the AI Innovation and Law Program at the University of Texas School of Law and a senior fellow at the Abundance Institute, for a cross-post conversation about the AI and cyber executive order, workforce disruption, and the future of education. They also share their respective research agendas for the summer. Hosted on Acast. See acast.com/privacy for more information.

What does a hotel key card have to do with 400,000 people hearing the gospel? Don Barger, Director of Innovation and Artificial Intelligence at the International Mission Board (IMB), shares the unexpected story of how one small, tangible idea helped one of the world's largest missions organizations go from AI skepticism to full-scale adoption — in just a few years.Key TakeawaysEasy wins change everything. The IMB's first AI pilots were deliberately small — translation of internal communications, a digital responder, and donor processing — and those quick wins gave skeptics something real to believe in before any large-scale rollout began.A few hundred NFC cards sparked 25,000 chatbot conversations. Don distributed programmed NFC cards at a single event, and within days, 25,000 people had tapped in and engaged with the IMB's AI chatbot — a result that came from one simple, low-cost idea.FaithBot was built for triage — and became a global evangelism tool. Originally designed to protect digital responders from high-volume, low-quality traffic, FaithBot now has over 400,000 users worldwide across multiple languages, spreading largely through organic, word-of-mouth sharing.Leadership sponsorship is the non-negotiable. Don invested significant time early on helping the IMB's President and EVP understand AI deeply enough to champion it. The entire senior leadership team completed an MIT Sloan course on AI business applications — and their buy-in made everything else possible.Your AI belief statement must come before your AI tools. The IMB established clear ethical guardrails before building anything, including a firm line: AI will not provide soul care. Defining what you won't do with AI is just as important as knowing what you will.Yesterday's skeptics make tomorrow's best advocates. Some of the IMB's loudest AI champions today were among the most resistant voices a year ago. Making innovation accessible and irresistible is what turns doubters into champions.Ready to Move from "Should We?" to "Here's How We Start?"If your ministry is still stuck in the "should we?" conversation around AI, this episode will help you move to "here's how we start." Don's framework is practical, proven, and deeply mission-focused — and it's exactly the kind of real-world perspective ministry leaders need right now. Listen to the full episode and then ask yourself: what's your hotel key card moment?ResourcesDon Barger — Director of Innovation and Artificial Intelligence, International Mission Board (IMB)FaithBot — AI evangelism chatbot: https://chat.faithbot.io/Don Barger's Substack — AI, Innovation, and Faith: donbarger.comInternational Mission Board (IMB): imb.orgDigital Ministry Conference 2026: digitalministryconference.comLaunch AI by Five Q — Ready to move from AI experimentation to measurable ministry impact? Learn more at fiveq.com/launch

In this episode we sit down with Bernhard Kowatsch, Director of Global Accelerator and Ventures at the UN World Food Programme (WFP), to talk about humanitarian logistics and how digital tools and AI are transforming decision-making. Download the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠episode transcript⁠⁠⁠⁠⁠===== In this episode we sit down with Bernhard Kowatsch, Director of Global Accelerator and Ventures at the UN World Food Programme (WFP), to talk about humanitarian logistics and how digital tools and AI are transforming decision-making. Bernhard explains that acute hunger has risen from 85 million pre-COVID to over 318 million due to conflicts, extreme weather, and economic shocks, increasing supply chain complexity across 120 countries using thousands of trucks, ships, and aircraft. The WFP uses AI for real-time and forecasted food security, and its Scout optimization tool to balance cost and speed across procurement, warehousing, and routing, saving $6M in 18 months and targeting $25M annually. He describes responsible AI, human oversight, prioritization by vulnerability, last-mile constraints, and WFP's Munich Innovation Accelerator model and partnership needs. ===== Guest: Bernhard Kowatsch Bernhard Kowatsch is the Director Global Accelerator and Ventures at the United Nations (UN) World Food Programme (WFP). Since he created the Global Accelerator in 2015, it has become one of the Worlds biggest impact startup accelerators, offering 18 annual programmes.Prior to starting the Accelerator, Bernhard co-founded the award-winning ShareTheMeal app that crowdsources funding for WFP and has delivered over 300 million meals for hungry children worldwide. His previous experience includes creating WFP's Business Innovation Unit and working as a Project Leader at the Boston Consulting Group (BCG).Host 1: Richard Howells⁠⁠⁠⁠⁠Richard Howells⁠⁠⁠⁠⁠ has been working in the Supply Chain Management and Manufacturing space for over 30 years. He is responsible for driving the thought leadership and awareness of SAP's ERP, Finance, and Supply Chain solutions and is an active writer, podcaster, and thought leader on the topics of supply chain, Industry 4.0, digitization, and sustainability.Host 2: Sin ToSin brings over 15 years of experience in the digital media and technology industry – primarily in marketing, business development, thought leadership, and editorial. At SAP, they ensure that SAP's supply chain solutions are properly visible with a focus on future trends and sustainable innovations as part of the Thought Leadership & Awareness Supply Chain Team.===== Show Links:SAP Digital Supply Chain: ⁠www.sap.com/scm⁠ World Food Programme Innovation Accelerator:  https://innovation.wfp.org/World Food Programme Innovation Accelerator 2025 Year in Review: https://innovation.wfp.org/year-review-2025World Food Programme Hunger Map: https://hungermap.wfp.org/food?w=ipc-phase-3Follow Us on Social Media : Bernhard KowatschLinkedIn: https://www.linkedin.com/in/bernhardkowatsch/ Richard Howells:LinkedIn: ⁠www.linkedin.com/in/richardjhowells⁠ Sin To: LinkedIn: ⁠www.linkedin.com/in/sin-to-5334208⁠ SAP Digital Supply Chain:LinkedIn: ⁠www.linkedin.com/showcase/sapdsc/⁠ Please give us a like, share, and subscribe to stay up-to-date on future episodes!  ===== Chapters: 00:00:00 Introduction to Future Supply Chains and AI Vision for WFP00:38 Humanitarian Logistics Intro01:42 Meet Bernhard Kowatsch02:35 Crisis Drivers and Hunger Surge04:46 Scale and Speed in Emergencies06:16 Planning Under Uncertainty09:18 Digital Supply Chain and Responsible AI12:01 Making AI Work Scout Savings14:34 Prioritization Access and Last Mile Tech18:43 Innovation Accelerator in Munich22:30 Partnering with WFP24:17 Future Supply Chain Wrap Up

Tom Davidson joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss AI timelines, explosive economic growth, and the increasingly urgent debate over “AI character” — the behavioral traits and decision-making tendencies embedded into advanced AI systems.Drawing on Davidson's recent paper, “The Importance of AI Character,” which he co-authored with Will MacAskill, their conversation explores how the character of future AI systems may influence democratic governance, military conflict, institutional trust, and even the long-run trajectory of civilization. The discussion also examines the key influences on character development and which actors should ultimately play a part in dictating the default values and behaviors of AI models. You may also enjoy Tom's article on AI as advisors. Hosted on Acast. See acast.com/privacy for more information.

Can businesses embrace AI without surrendering control over their data, technology choices, and future direction? In this episode of Tech Talks Daily, I sit down with Sachin Agrawal, Managing Director of Zoho UK, to discuss one of the biggest challenges facing organizations today. As AI adoption accelerates, many leaders are finding themselves caught between the pressure to innovate and the responsibility to maintain trust, transparency, and control. Sachin shares his perspective on what separates successful AI adoption from costly experimentation. Drawing on his experience leading Zoho's growth in the UK, he explains why organizations achieving the best results are focusing on clearly defined business outcomes rather than chasing headlines or reacting to fear of missing out. We discuss how AI is already improving customer service, sales operations, application development, and decision-making, while also highlighting the importance of digital maturity as a foundation for meaningful AI success. A major theme throughout our conversation is the growing concern around black-box AI systems. Sachin explains why transparency, explainability, and contextual intelligence are becoming increasingly important for businesses operating in regulated environments. We explore how organizations can build trust by keeping AI close to the systems where their data already resides, thereby creating more auditable, accountable outcomes. The discussion also turns to digital sovereignty, a topic that has rapidly moved from technical teams into boardroom conversations. Sachin outlines the different dimensions of sovereignty, including data residency, infrastructure, model choice, intelligence ownership, and vendor flexibility. As geopolitical tensions, regulatory expectations, and concerns about technology concentration grow, organizations are taking a closer look at how dependent they want to become on a small number of technology providers. We also examine whether AI will strengthen the dominance of major technology firms or create new opportunities for diverse software providers. Sachin argues that while the largest players may own much of the underlying infrastructure, customers are increasingly focused on practical outcomes, transparency, and flexibility rather than simply choosing the biggest platform. Along the way, we discuss cloud fragmentation, governance, responsible AI adoption, data privacy, and the importance of challenging AI rather than unquestioningly trusting its outputs. Sachin offers practical advice for leaders who want to balance innovation with accountability while maintaining independence in an increasingly interconnected technology environment. As AI continues to reshape business software and digital operations, how can organizations remain agile without sacrificing control? And what role will digital sovereignty play in determining who succeeds in the next era of enterprise technology?

In this episode, Scott MacLean, Senior Vice President and Chief Information Officer, MedStar Health, discusses the organization's Epic implementation, digital transformation strategy, and how AI, automation, and platform-based technology are shaping the future of patient care and operational efficiency.

Owen Larter, Senior Director and Head of Frontier Policy and Public Affairs at Google DeepMind, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to provide an inside look at how DeepMind approaches frontier governance. The conversation moves beyond the familiar U.S.-EU-China framing of AI policy to examine international coordination after the recent U.S.-China summit, Google DeepMind's national AI partnerships, the role of the Frontier Model Forum, and the challenge of expanding AI adoption. Kevin and Owen also discuss policy formation inside frontier AI companies. They close with an examination of the need to build a deeper AI policy talent pipeline. Hosted on Acast. See acast.com/privacy for more information.

Artificial intelligence is rapidly reshaping the landscape of rare disease research -- but how close are we to realizing its full potential? In this episode, Tanya Binette (Director of Therapeutic Expertise, Rare Disease at ICON plc) and Roz Round (SVP of Operational Strategy, Patient and Site Engagement at Precision for Medicine) explore how AI is being applied across the rare disease clinical trial lifecycle, from drug discovery and protocol design to patient identification and engagement.The discussion highlights both the promise and complexity of using AI in a research space defined by small patient populations, fragmented data, and unique ethical considerations. Guests emphasize the importance of patient trust, regulatory alignment, and responsible innovation, while also identifying opportunities to accelerate trials, improve access, and empower patients through AI-enabled tools.

In this episode, Scott MacLean, Senior Vice President and Chief Information Officer, MedStar Health, discusses the organization's Epic implementation, digital transformation strategy, and how AI, automation, and platform-based technology are shaping the future of patient care and operational efficiency.

Melissa Hutchins, founder and CEO of Certifi AI, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the rise of deepfakes, non-consensual sexually explicit imagery, and the growing policy fight over AI-generated harms online.Drawing from both her professional work and her personal experience as a victim of cyberstalking, Melissa explains how synthetic media is changing the threat landscape for individuals, platforms, and policymakers alike. The duo also unpack proposals like the Take It Down Act, the challenges posed by a fragmented patchwork of state AI laws, and what it's like building an AI company from Seattle rather than Silicon Valley. Hosted on Acast. See acast.com/privacy for more information.

Adeel Khan of MagicSchool AI and Ryan Trattner of StudyFetch join Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and Senior Editor at Lawfare, to discuss the rapid integration of artificial intelligence into education.The conversation explores how AI tools are being used by both teachers and students, from automating lesson planning to providing personalized tutoring and study support. The group examines claims about improved learning outcomes and time savings, while probing what counts as meaningful evidence versus early-stage or self-reported metrics.They also discuss the regulatory and operational challenges of building AI systems in education, including constraints imposed by student data protections, limited access to high-quality training data, and the growing impact of regulations and public scrutiny on product development and deployment. Hosted on Acast. See acast.com/privacy for more information.

Trigger Warning: This episode includes discussion of youth mental health challenges, including suicide and self-harm. Listener discretion is advised.Health Affairs Publishing's Kathleen Haddad welcomes Caroline Figueroa of Stanford University to the pod to discuss how teens are using AI chatbots for mental health support and the factors driving that use, including access and stigma. It also discusses emerging concerns and potential approaches to improving safety, design, and oversight of these tools. Join us on June 23 for an exclusive Insider virtual event examining how antitrust policy in health care is evolving at both the federal and state levels, featuring insights from Katherine Gudiksen, Leemore Dafny, and Nathan Hostert.Also, learn more about the upcoming AcademyHealth 2026 Annual Research Meeting from May 30 to June 2 featuring Caroline Figueroa as part of the panel, A Responsible Approach to AI Innovation to Support the Mental Health of Young People.Related Links:Responsible AI for Youth Mental Health (Hopelab)Talk, Trust, and Trade-Offs: How and Why Teens Use AI Companions (common sense media)One in Eight Adolescents and Young Adults Use AI Chatbots for Mental Health Advice (RAND)Towards responsible AI for adolescent mental health and well-being2026 CHATBOT LEGISLATION TRACKERSign up for Health Affairs' free newsletter to catch up on our new articles, podcasts, and events.

John McAuliff, a Delegate in the Viriginia House of Delegates, joins Kevin Frazier, Director of the AI Innovation and Law Program and a Senior Fellow with the Abundance Institute, to discuss the ongoing debates around data centers at the state level. John was one of the first candidates to recognize data centers as a key issue. He had to convince his polling team to put the issue on early surveys. Of course, they soon realized he was on to something. In his first legisatlive session as a delegate, John championed legislation to try to help counties negotiate with data center developers. He's not done working on the topic. Learn more about his plans and related issues by giving this episode a listen. Hosted on Acast. See acast.com/privacy for more information.

In this episode of the Ardan Labs Podcast, Ale Kennedy talks with Eugene Cheah, founder of Featherless, about his journey from physics to building globally accessible AI systems. Eugene shares his vision for making AI more affordable, multilingual, and open to communities around the world through efficient architectures and open-source collaboration.The conversation explores GPU optimization, evolving AI infrastructure, the importance of multilingual support, and the balance between innovation and regulation. Eugene also reflects on speaking at the United Nations, the future of open-source AI, and why accessibility and transparency are essential for the next generation of AI technology.00:00 Introduction and Featherless02:25 Education and Early Interests10:24 University and Military Service15:19 Entering the AI Industry22:33 Startups and AI Development30:42 AI as a Force for Good34:28 AI, Culture, and Automation42:13 Fundraising and Building a Startup50:10 AI Architecture and Optimization58:23 The Evolution of Featherless01:02:37 Building a Global AI Vision01:06:57 Open Source and AI Accessibility01:12:35 AI Risks and Real-World Concerns01:18:20 Lessons Learned and Final ThoughtsConnect with Eugene: LinkedIn: https://www.linkedin.com/in/eugene-cheah-a47791126/Mentioned in this Episode:Featherless AI: https://featherless.ai/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

The Big Unlock · Andrew Porter, CEO, Wayne General Hospital In this episode, Andrew Porter, CEO of Wayne General Hospital, shares how a community-based health system is navigating the dual pressures of financial sustainability and rural healthcare delivery. Drawing on his unique “three-legged stool” perspective as a clinician, administrator, and academic, Andrew highlights the necessity of staying nimble in a rapidly evolving market. Wayne General is taking a pragmatic approach to AI by focusing on real problems instead of technology hype. Andrew details the successful implementation of ambient AI documentation, which has improved provider satisfaction and restored the intimacy of the patient-physician relationship. He also discusses leveraging AI partnerships to bring high-sophistication care, such as heart murmur detection, to rural populations. Andrew emphasizes the critical need for AI-driven transformation in the revenue cycle to alleviate the administrative complexity burdening small hospitals. Take a listen.

Cathy O'Neil, CEO of ORCAA and author of Weapons of Math Destruction and The Shame Machine, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and Senior Editor at Lawfare, to explore the promises and limits of algorithmic auditing.The conversation examines what audits actually do in practice, how organizations measure and mitigate bias, and why context—not just code—determines whether an AI system causes harm. O'Neil explains why auditing cannot be reduced to a checklist, where it can meaningfully improve outcomes, and where it risks creating a false sense of security.They also discuss the need for evidence-based AI policy, the challenges of translating ethical concerns into measurable standards, and how regulators should think about auditing as part of broader governance frameworks. Logan Le-Jeffries, a wonderful member of the AI Innovation and Law Program, provided research assistance on this episode. Hosted on Acast. See acast.com/privacy for more information.

Sean Perryman, AI policy lead at Uber and lecturer on AI Governance and Ethics at Vanderbilt Law School, joins Kevin Frazier, the Director of the AI Innovation and Law Program at the University of Texas School of Law and a Senior Fellow at the Abundance Institute, to explore the rapidly evolving debate over algorithmic pricing and AI governance.The conversation begins with the rise of state-level efforts to regulate algorithmic pricing to unpack what these systems are actually doing and why they provoke strong reactions. Perryman examines the political motivations behind these regulatory efforts, the economic tradeoffs they often overlook, and the risk of unintended consequences.The discussion then broadens to a central theme in Perryman's work--including his Substack, The Human Cost--not all AI systems raise the same risks. Different use cases require fundamentally different governance approaches—yet policy debates often flatten these distinctions. Hosted on Acast. See acast.com/privacy for more information.

In this episode of Torsion Talk, Ryan sits down with Justin Evans, Senior Vice President of Marketing at Clopay, to talk about the future of the garage door industry, product innovation, AI-driven marketing, and what dealers need to do to stay competitive in a rapidly changing market.Justin shares his 23-year journey with Clopay, how the company approaches product development, and why innovation has become one of the biggest competitive advantages in the garage door industry. From the award-winning VertiStack system to Clopay's groundbreaking C POWER technology, this conversation dives deep into how modern garage doors are evolving far beyond traditional designs.Ryan and Justin also discuss the importance of branding, customer experience, and why homeowners are finally beginning to see garage doors as a major design feature instead of just a utility product. They break down how Clopay uses direct-to-consumer marketing, AI-powered call tracking, lead attribution, and dealer partnerships to help companies grow faster and generate more qualified leads.This episode also explores some of the biggest challenges facing garage door companies today, including recruiting talent, improving operational efficiency, increasing average ticket value, and adapting to changing consumer behavior. Ryan shares real-world examples from Aaron Overhead Doors, including selling luxury custom doors to athletes, designers, and high-end homeowners, while Justin explains why authenticity and trust matter more than ever in marketing.You'll also hear insights on garage door ROI, pricing psychology, sales strategy, social media trends, and why dealers often underestimate the true value of the products and services they offer. If you're a garage door dealer, home service business owner, marketer, or entrepreneur trying to grow your company, this episode is packed with practical takeaways and future-focused ideas.Topics covered include Clopay VertiStack, C POWER smart glass garage doors, AI marketing trends, garage door lead generation, customer psychology, luxury garage doors, contractor branding, dealer growth strategies, garage door sales training, and the future of home service businesses.Make sure to subscribe to Torsion Talk on YouTube, Spotify, and Apple Podcasts for more conversations on garage doors, entrepreneurship, AI, leadership, marketing, and building a successful business in today's market.Find Ryan at:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://garagedooru.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aaronoverheaddoors.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://markinuity.com/⁠Check out our sponsors!Sommer USA - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://sommer-usa.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Surewinder - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://surewinder.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stealth Hardware - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://quietmydoor.com/⁠

Alan Rozenshtein, Associate Professor of Law at the University of Minnesota and Research Director at Lawfare, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and Senior Editor at Lawfare, spoke with Dean Ball, Senior Fellow at the Foundation for American Innovation and former Senior Policy Advisor for AI at the White House Office of Science and Technology Policy, about the Trump administration's reported plans to vet frontier AI models before public release.They discussed how Anthropic's Mythos model reshaped the administration's posture on AI risk; why the executive branch lacks clear legal authority for a mandatory pre-deployment vetting regime; the voluntary "kick the tires" framework Frazier and Ball have proposed using CAISI and the Cyber Resilience Fund; whether an FDA-style licensing regime is ultimately inevitable for frontier AI; and the institutional design challenges of building AI oversight that can scale with rapidly improving model capabilities. Hosted on Acast. See acast.com/privacy for more information.

In this episode of Scaling Laws, Kate Klonick, Associate Professor of Law at St. John's University and a fellow at the Brookings Institution, and Kevin Frazier, Director of the AI Innovation and Law Program at the University of Texas School of Law and a senior fellow at the Abundance Institute, are joined by Marietje Schaake, the International Policy Director at Stanford University's Cyber Policy Center and author of The Tech Coup: How to Save Democracy from Silicon Valley. A former Member of the European Parliament, Schaake has long been a leading architect of digital rights and tech governance.Their conversation explores the central thesis of her work: that a handful of tech giants have effectively staged a "coup" over democratic functions, from national security to the very infrastructure of public discourse. They examine the democratic implications of AI development, the "privatization of policy," and why Schaake believes that without urgent intervention, the "rule of law" is being replaced by the "rule of code."To get in touch with us, email scalinglaws@lawfaremedia.org. Logan Le-Jeffries, a member of the AI Wranglers student program at the University of Texas School of Law, provided research assistance with this episode. Hosted on Acast. See acast.com/privacy for more information.

Bennett Borden, Founder and CEO of Clarion AI Partners, joins Kevin Frazier, the AI Innovation and Law Fellow at UT and a Senior Fellow at the Abundance Institute, to discuss AI adoption as well as the future of the law and legal practice. The two explore Bennett's unique background, Clarion's AI interdisciplinary approach, and the importance of AI adoption. They also cover innovative work underway at major AI labs to align model use with user expectations. Hosted on Acast. See acast.com/privacy for more information.

Recorded live at the annual meeting of the Legal Marketing Association in New Orleans, this episode features a conversation with Rachel Shields Williams, president of the LMA and director of client intelligence at Sidley Austin, where she has spent 17 years building out roles at the intersection of marketing, business development, knowledge management and data. Earlier this year, Rachel was named a recipient of ALM's Monica Bay Women in Legal Tech Award. Rachel and host Bob Ambrogi discuss how AI is reshaping the work of legal marketers, and why she believes the marketing community is uniquely positioned to help law firms move past the "I'm curious, I want to click the buttons" stage of AI adoption to sustained, repeatable value. They get into the state of innovation in big law — including Rachel's view that firms cannot use AI or money to "skip the canyon of despair" in change management — and why she thinks meaningful innovation often looks less like a headline and more like getting one percent better every week. The conversation also covers the changing competitive landscape facing traditional firms, from AI-native entrants like Norm AI to MSOs and a resurgent ALSP market; the long-running debate over the billable hour; the four interrelated elements Rachel sees at the heart of every law firm's data — documents, clients, matters, and people; and what firm leaders should be doing right now to stay competitive over the next decade. Throughout, Rachel returns to a theme about which she calls herself an "unapologetic humanist" — technology and process will keep changing, but the firms that win will be the ones that put the right people in the room first.   Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. Paradigm, home to the practice management platforms PracticePanther, Bill4Time, MerusCase and LollyLaw; the e-payments platform Headnote; and the legal accounting software TrustBooks. Briefpoint, eliminating routine discovery response and request drafting tasks so you can focus on drafting what matters (or just make it home for dinner).   If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.  

In this episode of Scaling Laws, we explore how the "black box" of global greenhouse gas emissions is being cracked open by artificial intelligence and satellite imagery. Kevin Frazier, Director of the AI Innovation and Law Program at the University of Texas School of Law and a Senior Fellow at the Abundance Institute, talks with Gavin McCormick, the founder of ClimateTrace, a global coalition that has revolutionized the process of identifying and quantifying emissions.For decades, climate policy has relied on self-reported data from nations and corporations—a system prone to gaps and "greenwashing." McCormick's work leverages machine learning to monitor every major source of emissions on Earth in near real-time. We discuss the legal implications of "radical transparency," how AI-driven data can be used to enforce regulations and measure claims, and the myths and facts of AI's environmental consequences. To get in touch with us, email scalinglaws@lawfaremedia.org.Logan Le-Jeffries, a member of the AI Wranglers student program at the University of Texas School of Law, provided research assistance with this episode. Hosted on Acast. See acast.com/privacy for more information.

On this episode of The Association Podcast, we welcome Jamie Atchison, MSMIT, Senior Director of Innovation and Strategy at the Association of Schools and Programs of Public Health (ASPPH). Jamie shares her unique journey from public health programming into technology leadership, highlighting how she bridges business needs and digital innovation within her organization.We explore ASPPH's groundbreaking AI chatbot, built in just eight weeks, and the intentional, human-centered approach behind it. Jamie dives into how associations can responsibly adopt AI, the importance of curated and trusted content, and how vertical AI models can combat misinformation in complex fields like public health.The conversation also covers leadership philosophy, including servant leadership, psychological safety, and building high-performing “one-pizza teams” that can move quickly without losing alignment. Jamie offers a forward-looking perspective on how AI and agentic AI will reshape associations, emphasizing augmentation over replacement and the need for strong critical thinking in an AI-driven world.00:00 Welcome and Introduction00:01 Rapid Fire Questions02:00 Jamie's Career Journey and Path into Technology05:00 Transition from Program Work to Digital Innovation Leadership07:00 Building High-Performing “One-Pizza Teams”09:00 Inside the AI Chatbot Project (8-Week Build)12:00 Team Structure, AWS Partnership, and Knowledge Transfer13:00 From Problem to Solution: Why a Chatbot?14:30 Responsible and Ethical AI in Public Health17:00 Guardrails, Curated Content, and Vertical AI Models18:00 Data Considerations and Content Strategy20:00 Member Feedback and Adoption of AI Tools21:30 Human-Centered Design vs. Over-Reliance on AI23:00 Broader AI Strategy and Task Force Initiatives26:00 Building a Digital Innovation Team in Associations29:00 Bridging Business Strategy and Technology Execution32:00 Future Trends: AI, Agentic AI, and Workforce Impact36:00 Servant Leadership and Building Trust in Teams39:00 Culture, Collaboration, and Crisis Response in Tech Teams40:00 AWTC Recognition and Team Success42:00 Aligning Personal Values with Organizational Mission44:00 Where to Learn More About ASPPH's AI Initiatives

In this episode, Nathan Wrigley interviews Malcolm Peralty from Pressable, about his tech and WordPress career, experiences with Drupal and Acquia, and his current role as a technical account manager. They discuss Pressable's hosting services, their focus on optimising WordPress performance, and how AI innovations, like the upcoming MCP tool, are being integrated to automate website management and support. The conversation covers industry challenges such as AI-driven costs, customer education, hosting complexities, and the balance between automation and maintaining human touch in support and service.

For CRNA students, everything can come down to one moment: the board exam. But is it fair to measure years of training, clinical experience, and growth with a single high-stakes test? In this episode, Joshua Olson DNP, CRNA, CRNA educator, and co-creator of the Ollivate app, joins Erin and Louisa to discuss board prep and the use of artificial intelligence in CRNA education. Here's some of what you'll hear in this episode:

R&D teams are starting to advance AI capabilities faster than they can translate them into measurable business value, creating mounting friction between scientific progress and operational reality. In this episode, Aziz Nazha, Global Head of AI Innovations Institute at Incyte Pharmaceuticals, examines how culture, talent, infrastructure, and expectation‑setting determine whether AI meaningfully improves drug discovery and development. He highlights the practical shifts required — from redesigning workflows to disciplined upskilling and targeted validation cycles — to ensure AI adoption accelerates cycle times rather than getting stalled by organizational bottlenecks. This episode is sponsored by Deloitte. Learn how brands like Deloitte work with Emerj and other Emerj Media options at go.emerj.com/partner

KERRI ZANEAI Innovation: Kerri Zane's Creative Career JourneySummaryIn this engaging interview, Kerri Zane shares her extensive experience in reality TV, her innovative ventures into AI in media, and invaluable advice for aspiring producers and storytellers. Discover how she navigates the evolving landscape of entertainment, the role of AI, and tips for success in the industry.Sound Bites"Never give up. I never stop. I never give up.""When someone says no to me, that's when I get started."ChaptersSetting the Stage: Introduction and BackgroundEmbracing AI in Media: A New EraThe Art of Production: Roles and ResponsibilitiesReality TV: Crafting Stories and ConflictNavigating the Pitch Process: Tips for SuccessThe Evolution of Content Creation: From Traditional to AIThe Importance of Human Creativity in AIAdvice for Aspiring Creatives: Never Give UpBooks and Personal Growth: Sharing ExperiencesClosing Thoughts: The Future of StorytellingHow women are rewriting the rules—no apologies neededDrop a

Representative Nick Begich, Alaska's at-large member of Congress, joins Kevin Frazier, Director of the AI Innovation and Law Program at the University of Texas School of Law and a Senior Fellow at the Abundance Institute, to discuss the current state of AI policy on the Hill. As one of the few members of Congress with a background in tech, Rep. Begich offers a unique perspective on this evolving regulatory question. The two also assess how Alaska may be a leader in developing AI infrastructure. Finally, Rep. Begich shares how he and his staff leverage AI to improve their own operations.Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

Alan Rozenshtein, research director at Lawfare, spoke with Cullen O'Keefe, research director at the Institute for Law & AI, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas at Austin School of Law and senior editor at Lawfare, about their paper, "Automated Compliance and the Regulation of AI" (and associated Lawfare article), which argues that AI systems can automate many regulatory compliance tasks, loosening the trade-off between safety and innovation in AI policy.The conversation covered the disproportionate burden of compliance costs on startups versus large firms; the limitations of compute thresholds as a proxy for targeting AI regulation; how AI can automate tasks like transparency reporting, model evaluations, and incident disclosure; the Goodhart's Law objection to automated compliance; the paper's proposal for "automatability triggers" that condition regulation on the availability of cheap compliance tools; analogies to sunrise clauses in other areas of law; incentive problems in developing compliance-automating AI; the speculative future of automated compliance meeting automated governance; and how co-authoring the paper shifted each author's views on the AI regulation debate.Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.