Podcasts about ai innovation

Ethan Mollick, Professor of Management and author of the “One Useful Thing” Substack, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, and Alan Rozenshtein, Associate Professor at Minnesota Law and a Senior Editor at Lawfare, to analyze the latest research in AI adoption, specifically its use by professionals and educators. The trio also analyze the trajectory of AI development and related, ongoing policy discussions.More of Ethan Mollick's work: https://www.oneusefulthing.org/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.

People in the credit business are starting to see just how much AI can do for them. It can improve profits and lower defaults. It can predict demand for new services. It can see past credit scores and comprehensively assess lending risks. That's why AI's role in credit is only going to get bigger going forward. Some people are very excited about that. And some are very worried. AI will lie unless you tell it not to. It will collude on pricing with other AI. Experts say those are a couple reasons why we need to proceed with caution and better understand potential hazards.   Read an outline of the keynote speech at the 68th Economic Conference by UC-Berkeley professor Adair Morse, “AI Innovation for Credit: Frontiers of Benefits & Red Flags.” Watch a recording of the speech.

How Paralex is Revolutionizing Legal Services for Small Business Owners: Insights from the Podcast with Stephen CandelmoIn this episode of The Thoughtful Entrepreneur, host Josh Elledge interviews Stephen Candelmo, CEO of Paralex, about transforming how small businesses access legal services. Stephen shares how his passion for both law and technology led to founding Paralex, a platform that blends AI efficiency with human legal expertise. Listeners will also enjoy a unique personal twist—Stephen's love for sourdough baking, which serves as a powerful metaphor for entrepreneurship.Legal Support, AI Innovation, and the Small Business AdvantageStephen opens the conversation by discussing his deep passion for cooking—particularly sourdough—and how its patience and care reflect the same mindset needed in running a business. This leads into a broader discussion about the common legal hurdles small business owners face, from high costs to confusing language and delayed service.Paralex addresses these challenges through a hybrid model. AI handles client intake and document preparation quickly and affordably, while licensed attorneys review and finalize every document to ensure legal integrity. This approach offers transparency, fixed pricing, and a human touch—making legal support accessible and reliable for entrepreneurs.Stephen walks listeners through the user journey on the Paralex platform, from submitting a request to receiving attorney-reviewed documents. He also offers valuable advice on what to look for in legal tech platforms and why having the right legal foundation early on is crucial for long-term success.About Stephen Candelmo:Stephen Candelmo is the Founder and CEO of Paralex and a seasoned corporate attorney with nearly three decades of experience. His mission is to democratize legal access for small businesses by merging cutting-edge technology with legal professionalism. Through Paralex, Stephen is making legal services faster, more affordable, and approachable for entrepreneurs.About Paralex:Paralex is an AI-powered legal platform designed to provide small business owners with quick, affordable, and attorney-reviewed legal documents. Combining automation and professional oversight, Paralex simplifies legal services without compromising quality.Links Mentioned in this Episode:Stephen Candelmo on LinkedInParalex WebsiteEpisode Highlights:How sourdough baking relates to business and legal careThe biggest legal hurdles for small business ownersHow AI and human expertise combine on the Paralex platformA step-by-step look at how Paralex worksTips for choosing and using legal tech as a small businessConclusionStephen Candelmo shares a compelling vision for the future of legal services—one where small businesses are no longer priced out or left confused by legal complexities. By combining advanced AI with expert legal review, Paralex sets a new standard for accessibility and quality in the legal tech space.Apply to be a Guest on The Thoughtful Entrepreneur: https://go.upmyinfluence.com/podcast-guestMore from UpMyInfluence:We are actively booking guests for our The Thoughtful Entrepreneur.

How do successful product leaders navigate rapid technological change while maintaining a customer-centric approach? In this episode of the CPO Rising Series hosted by Products That Count Resident CPO Renee Niemi, MongoDB Chief Product Officer Sahir Azam will be speaking on transforming product strategy in the age of AI and cloud innovation. Sahir shares insights from MongoDB's journey of transitioning from an open-source database company to a cloud services leader, offering a masterclass in strategic product leadership.

Curious how technology is reshaping the creative process? In this episode we chat with Nik Kleverov about innovation, iteration and what happens when bold ideas meet cutting-edge tools.

President Trump's newly-signed spending bill slashes tax credits for renewable energy, which could have a massive and unexpected impact on big tech's development of AI, especially as China ramps up its electricity generation compared to the U.S. 

Ajay Patel is the General Manager of Apptio and IBM IT automation. He and Kieron Allen sat down to talk about how enterprises are transitioning from AI experimentation to real business impact. They explored key challenges like cost transparency, governance, and data readiness, as well as the rise of agentic AI to automate workflows at scale. Ajay also introduced Apptio's new AI TCO and Usage tool, designed to help CIOs and CFOs measure and optimize AI investments.Smart Spending on AI The Big Themes:Enterprises Are Moving Beyond AI Experiments to Strategic Deployment: The era of AI experimentation is over. Enterprises are now actively deploying AI, particularly in sales, service operations, and software development. However, those achieving meaningful impact are taking a strategic approach, rather than letting teams experiment in silos. The C-suite increasingly sees AI as critical, but that value perception isn't always shared by the wider workforce.AI and IT Budgets: AI now consumes more than 20% of IT budgets, yet overall tech spending is only increasing 4–5%. This creates a 10–15% gap, leading companies to “forward fund” AI initiatives by reallocating from other areas. A key challenge: there's no standardized pricing for AI. To address this, IBM's Apptio launched the AI TCO and Usage solution. It helps CIOs and CFOs baseline current AI investments, measure unit economics, and identify areas to optimize or expand.Agentic AI, the Next Frontier: Agentic AI is key to scaling beyond isolated use cases. It enables automation at scale and connects AI investment to tangible business outcomes. From cost savings in infrastructure to better visibility in FinOps to boosting customer experience, the ROI is clear when deployed correctly. But none of this happens without data readiness, governance, and strategic clarity.The Big Quote: "AI TCO solution fundamentally starts by giving CIOs [and] CFOs in the business a complete view of where the tech spending and AI spending is, and what stage is that? Is it in a pilot phase? Is it for training models?"Learn more:Connect with Ajay Patel on LinkedIn and learn more about Apptio. Visit Cloud Wars for more.

In this episode of The Digital Executive podcast, host Brian Thomas speaks with Ahikam Kaufman, co-founder and CEO of Safe Book's AI. With over two decades of experience in corporate finance, including leadership roles at Intuit, Kaufman shares how his team is revolutionizing financial data governance through intelligent automation. He highlights the unique challenges CFOs face with fragmented financial systems and explains why today's tools often fall short in ensuring accuracy, compliance, and speed.Kaufman delves into the slow adoption of AI in finance compared to other departments, emphasizing how Safe Book's AI is bridging that gap. From automating repetitive tasks to enhancing M&A due diligence, he outlines how AI can transform finance from a reactive function to a strategic powerhouse. If you're a finance leader looking to future-proof your operations, this is a must-listen conversation.If you liked what you heard today, please leave us a review. Apple or Spotify

On the inaugural episode of Scaling Laws, co-hosts Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Law, and Alan Rozenshtein, Professor at Minnesota Law and Research Director at Lawfare, speak with Adam Thierer, a senior fellow for the Technology and Innovation team at the R Street Institute, and Helen Toner, the Director of Strategy and Foundational Research Grants at Georgetown's Center for Security and Emerging Technology (CSET).They discuss the recent overwhelming defeat in the Senate of a proposed moratorium on state and local regulation of artificial intelligence. The conversation explores the moratorium's journey from its inclusion in a House bill to its ultimate failure, examining the procedural hurdles, the confusing legislative language, and the political maneuvering that led to its demise by a 99-to-1 vote. The group discuss the future of U.S. AI governance, covering the Republican party's fragmentation on tech policy and whether Congress's failure to act is a sign of it being broken or a deliberate policy choice.Mentioned in this episode: “The Continuing Tech Policy Realignment on the Right” by Adam Thierer in Medium “1,000 AI Bills: Time for Congress to Get Serious About Preemption” by Kevin Frazier and Adam Thierer in Lawfare “Congress Should Preempt State AI Safety Legislation” by Dean W. Ball and Alan Z. Rozenshtein in Lawfare "The Coming Techlash Could Kill AI Innovation Before It Helps Anyone" by Kevin Frazier in Reason "Unresolved debates about the future of AI" by Helen Toner in Rising Tide Hosted on Acast. See acast.com/privacy for more information.

i'm wall-e, welcoming you to today's tech briefing for wednesday, july 2nd. here's what's on the docket: figma's ipo plans: gearing up to raise $1.5 billion, the design company reveals 48% revenue growth in 2024 despite past challenges, focusing on ai to stay competitive. google's energy consumption: data center energy use has doubled over four years, with a commitment to renewables to ensure a carbon-free future. elon musk's xai funding: secured $10 billion to enhance data centers and the grok platform, with backing from investors like morgan stanley and nvidia. changes at social media platform x: nikita bier takes over as new head of product, aiming to broaden appeal with new innovations. nasa's artemis program funding: u.s. senate approves an additional $10 billion to advance lunar missions, despite ongoing strategic debates. that's all for today's tech briefing. we'll see you back here tomorrow!

Apple is gonna pay their competitors to do AI for them. Yiiiiikes. A recent Bloomberg report detailed Apple's failures to build a smart AI Siri and how they may instead hire OpenAI or Anthropic to do the job for them. Our take? You know we're bringing the fire for this #HotTakeTuesday.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Apple's Generative AI Struggles AnalyzedBloomberg Report on Apple's AI PlansApple's AI Strategy Shift with CompetitorsSiri Development Challenges & DelaysApple's AI Failures & Class Action LawsuitsFuture of Apple's AI Innovation DiscussedAnthropic & OpenAI's Role in Apple's AIApple's AI Outsourcing Strategic ImpactTimestamps:00:00 "Everyday AI: Podcast & Newsletter"05:57 "Delayed AI Siri Release"09:41 Apple's AI Struggles Revealed10:47 "Apple's Siri Relies on ChatGPT"16:57 Apple Faces Costly AI Negotiations17:58 Amazon Partners with Anthropic for Alexa23:47 AI Strategy and Training Solutions26:39 Google and Apple's AI Divergence31:27 Meta Advances, Apple Lags in AI32:48 AI Setbacks Could Cost Apple Market CapKeywords:Apple AI, generative AI, Bloomberg report, AI-powered Siri, Apple's AI failure, Siri assistant, strategic pivot, OpenAI, anthropic partnership, Apple innovation, AI development disasters, internal development, Alexa partnership, gen emojis, Apple intelligence, Apple WWDC, AI efforts, smarter Siri, AI redemption story, AI pioneer, industry laggard, privacy narrative, class action lawsuits, vertical integration, small language models, edge AI, on-device AI, AI integration, market cap, AI investment, Meta Superintelligence Labs, Tim Cook, CEO Apple, AI dependency.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Payslip announces it is powering payroll for over 100,000 employees globally, driven by new enterprise partnerships with companies including Booking.com & EQT. Payslip's platform now powers global payroll operations for companies generating over $16 billion in combined annual revenue and supporting more than 100,000 employees worldwide. In parallel, Payslip has more than doubled its own revenue, achieving 102% ARR growth between December 2022 and December 2024, and sustaining a 70% CAGR. Founded in 2016 in Westport, Co. Mayo by entrepreneur Fidelma McGuirk, Payslip is one of Ireland's leading FinTech companies and the market leading global payroll technology provider. Payslip empowers multinational enterprises with scalable, standardised payroll solutions. In November 2024, it strengthened its board with David Clarke (ex-Workday CTO) and Barry Dowling (TransferMate Co-Founder). A strategic partnership with Deloitte further reinforces its growing enterprise impact. "We're delighted to be powering payroll for leading global companies like Booking.com and EQT, as they scale across international markets," said Fidelma McGuirk, Founder & CEO of Payslip. "We're also equally proud to welcome Ann Marie Smith and David del Pino to our senior leadership team. Their experience will be instrumental as we enter a new phase of growth." "With the launch of Payslip's AI Payroll Element Classification Solution, Payslip has achieved an industry holy grail. This is a turning point for the industry: Payslip AI automates the identification, mapping, and normalisation of complex payroll data across countries, removing manual effort and accelerating automated standardisation. Payslip Control Platform is market unique as it unifies all global payroll data into one Global Payroll System of Record. With Payslip AI, the global data standardisation & unification is now achievable in minutes. It's a major innovation toward smarter, more scalable payroll." Stefan Hjerne, Head of Payroll and Benefits at EQT Group said "Payslip automates our payroll operations across EQT's 20 countries, transforming our processes and setting us up for continued growth and expansion". Payslip's Global Payroll Control Platform is ideally suited to world leading Private Equity Company EQT, as they scale through international M&A. Payslip customers report an average of 40% efficiency gains during every pay run as a direct result of Payslip AI & Automation." Payslip AI Element Classification Solution brings automation to one of the most complex parts of global payroll: mapping and standardising data from multiple countries and providers. By applying machine learning to identify and normalise payroll elements, the tool reduces manual input, shortens onboarding timelines, and improves data consistency across systems. It's a foundational capability designed to support faster, more scalable payroll operations for enterprise clients. See more stories here.

AI is transforming everything—including the way people search, and the way brands show up online. But with Google rolling out AI Overviews and AI Mode and user behavior evolving fast, marketers are asking: Are our SEO strategies still built for what's next?  In this episode of The AI Edit, we cut through the confusion around Generative Engine Optimization, Generative AI in Search Engines , and AI's broader impact on where consumers will seek answers into the future   to help you understand what's changing—and what you can do about it.  To help make sense of it all, I'm joined by two of the minds leading Red Door's strategic response to this shift: our VP of Data & MarTech, Ron Hadler, and our SEO Manager, Angie. Together, we'll unpack the implications for visibility, performance, and content strategy in an AI-powered search landscape

In this episode, Paul Tyler interviews Kartik Sakthivel, Vice President and CIO of LIMRA, discussing the transformative impact of AI on the insurance industry. They explore the evolution of AI, its ethical implications, and the importance of governance. Kartik shares insights from his personal journey in the industry and emphasizes the need for AI literacy and operational efficiency. The conversation highlights the potential of AI to expand access to insurance and the importance of innovation from all levels within organizations. They conclude with a look at future directions for AI governance and resources available for industry professionals. Learn more at: www.thatannuityshow.com  

In this conversation, we dive into the world of AI, tech innovation, and data annotation with Michael Abramov, the CEO and Co-Founder of Keymakr and Keylabs.ai. With experience in R&D management and data collection, Michael became a software engineer with one goal in mind: to make a meaningful impact with his work. Whether he's working in agriculture or the automotive industry, he's on a mission to drive technological advancements and breakthroughs in creative ways… Keymakr was founded in 2015 as a response to a need for high-quality and affordable training data for computer vision-based AI. Now, they're developing annotation tools and data collection technology to help their partners and clients in Computer Vision create innovative models.  Keylabs is a state-of-the-art data annotation platform that uses built-in machine learning and efficient operation management to enhance data interpretation. Designed for optimal results, its advanced algorithms are practical for a diverse range of industries, including medicine, automotive, and security. Click play to find out: What data annotation means in the context of Computer Vision.  How boundaries of right and wrong are established within AI systems.  Examples of data poisoning and its impact on the accuracy of AI tools.   You can connect with Michael by visiting his LinkedIn! Episode also available on Apple Podcasts: http://apple.co/30PvU9C

In this episode, Justin Anderson, Mawer's Chief Technology Officer, sits down to discuss the evolving “build-in vs. build-out” technology framework. Justin explains how Mawer approaches technology decisions—balancing vendor solutions with in-house customization—and shares practical examples from the firm, including proprietary solutions such as trade&MAWER and M42. The conversation explores how advances in AI and large language models are accelerating the shift toward more tailored, efficient solutions. He also offers insights for investors on what to look for in management teams as organizations adapt to rapid technological change.   Key Takeaways: The “build-in vs. build-out” framework focuses on how companies customize technology for their unique needs, beyond simply buying or building from scratch. Advances in AI and large language models are making it easier and more cost-effective to develop in-house solutions. Mawer's internal platforms, such as trade&MAWER and M42, demonstrate the benefits of a build-out approach. Leadership and culture are critical—successful organizations encourage experimentation, embrace new technology, and balance innovation with risk management. Investors should look for companies whose management teams understand technology, address technical debt, and foster a culture of curiosity and adaptability. Host: Andrew Johnson, CFA, Mawer Institutional Portfolio Manager Guest: Justin Anderson, CFA, MSc, Chief Technology Officer   This episode is available for download anywhere you get your podcasts.  Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore.  Visit Mawer at https://www.mawer.com. Follow us on social: LinkedIn - https://www.linkedin.com/company/mawer-investment-management/ Instagram - https://www.instagram.com/mawerinvestmentmanagement/ 

In this episode of the Get Plugged In – AI Insights series from the Society of Actuaries Research Institute, Dale Hall welcomes two distinguished guests from Reinsurance Group of America, Incorporated: Tim Rozar, Past-President of the Society of Actuaries and Chief Innovation and Content Officer, and Jeffrey Heaton, Vice President of AI Innovation. Tim and Jeff share their expert perspectives on how artificial intelligence is revolutionizing the actuarial profession and reshaping the future of life and health reinsurance. From productivity tools and workforce automation to governance, model drift, and education, they explore practical use cases, and the strategic mindset required for actuaries to thrive in an AI-driven environment.

With a swirl of acquisition news happening in the industry, Zach Van Doren of Acxiom joins the Real Talk podcast to break it all down with hosts Kyle Hollaway and Dustin Raney. They touch on AI topics from the Salesforce acquisition of Informatica and Meta's bid for Scale AI, to the uncertainty around the direction of legislation and what the next new device could mean for brands and consumers. Thanks for listening! Follow us on Twitter and Instagram or find us on Facebook.

REPLAY (Original Air Date Oct 21, 2024)   Today on the Social-Engineer Podcast: The Security Awareness Series, Chris is joined by Stacey Edmonds. Stacey is a multi-disciplinary EdTech innovator and Digital Safety Pioneer, driven by a commitment to democratizing knowledge. Stacey's expertise, encompassing social science, education, EdTech, and multi-platform screen production, culminated in the founding of Lively, which we will hear all about on this podcast. Since 2002, Stacey has been designing and delivering enterprise-wide cyber safety upskilling programs. In 2023, embodying her mission to make knowledge accessible, Stacey launched 'Dodgy or Not?' – a social enterprise offering an engaging approach to digital safety education.   She continues to bridge the gap between emerging technologies and practical education, driving innovation in AI ethics and digital literacy - she is also known for deepfaking herself. [Oct 21, 2024]   00:00 - Intro 00:19 - Intro Links: -          Social-Engineer.com - http://www.social-engineer.com/ -          Managed Voice Phishing - https://www.social-engineer.com/services/vishing-service/ -          Managed Email Phishing - https://www.social-engineer.com/services/se-phishing-service/ -          Adversarial Simulations - https://www.social-engineer.com/services/social-engineering-penetration-test/ -          Social-Engineer channel on SLACK - https://social-engineering-hq.slack.com/ssb -          CLUTCH - http://www.pro-rock.com/ -          innocentlivesfoundation.org - http://www.innocentlivesfoundation.org/                                                03:00 - Stacey Edmonds Intro 04:18 - Teaching, Trains & Turkeys 08:43 - Toilets vs Videos 11:16 - Dodgy or Not? 15:15 - Social Engineering for Good! 17:46 - Pause for the Cause 20:17 - Training in Real Time 24:11 - Real Time Threat Detection 27:49 - Culture is Everything 30:33 - Find Stacey Edmonds online -          LinkedIn: in/staceyedmonds/ 31:28 – Mentors -          Carolyn Breeze -          Chris Hadnagy -          Janine Thompson -          Steve Rowe -          Shane Bell 33:58 - Book Recommendations -          Feel The Fear and Do It Anyway - Susan Jeffers -          The Hitchhiker's Guide to the Galaxy - Douglas Adams -          1984 - George Orwell -          Man-Made – Tracey Spicer 35:51 - Wrap Up & Outro -          www.social-engineer.com -          www.innocentlivesfoundation.org

Aaron McIntire highlights the U.S. Army's stunning success in meeting its 2025 recruiting goal of 61,000 soldiers four months early, a turnaround from 2022-2023 shortfalls. Defense Secretary Pete Hegseth credits a morale shift under President Trump's “America First” leadership, emphasizing war-fighting over “politically correct garbage,” boosting enthusiasm across all military branches. McIntire reflects on a heartfelt Iowa National Guard send-off ceremony, noting the sacrifices of “salt of the earth” Americans, but questions U.S. Middle East involvement. A federal judge approves the House settlement, allowing colleges to pay athletes up to $20.5 million annually, ending the amateur model and sparking debate over walk-on athletes and stability in college sports. McIntire criticizes the NCAA's greed-driven history, doubting the settlement will stabilize athletics. In Los Angeles, immigration riots reveal deep polarization: Vice President J.D. Vance questions if foreign nationals assaulting police constitute an “invasion,” while 40% of L.A. residents are foreign-born. Governor Gavin Newsom calls deploying Marines “deranged,” and the LAPD labels violent protests “peaceful.” McIntire argues this reflects irreconcilable ideological divides. Apple's Worldwide Developers Conference unveils “Liquid Glass,” a new iOS 26 interface, but McIntire slams it as a superficial “coat of paint” from a stagnant tech giant lagging in AI. A poll on planned June 14 protests predicts “America on Fire” (33.1%), with headlines likely to frame Trump as tyrannical, ignoring reality. A mix of patriotism, cultural shifts, and societal fractures.   U.S. Army recruiting, Pete Hegseth, Trump administration, Middle East deployment, college sports, House settlement, NCAA, Los Angeles riots, J.D. Vance, Gavin Newsom, LAPD, polarization, Apple, Liquid Glass, AI innovation, protest poll

Christina Knight, Machine Learning Safety and Evals Lead at Scale AI and former senior policy adviser at the U.S. AI Safety Institute (AISI), joins Kevin Frazier, the AI Innovation and Law Fellow at Texas and a Senior Editor at Lawfare, to break down what it means to test and evaluate frontier AI models as well as the status of international efforts to coordinate on those efforts.This recording took place before the administration changed the name of the U.S. AI Safety Institute to the U.S. Center for AI Standards and Innovation. 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.

Today, we're talking to Phil Tee, EVP & Head of AI Innovation at Zscaler. We discuss why agentic AI will change everything about the way we use technology, what it will look like to fully team up with autonomous technology, and why intelligence itself might be more malleable than we ever thought. All of this right here, right now, on the Modern CTO Podcast! To learn more about Zscaler, check out their website here.

Join host Shruthi to discover how organizations use GPU-accelerated computing on AWS. Container Specialist Re Alvarez Parmar shows how Rivian optimizes GPU usage for autonomous vehicles with Amazon EKS. AWS Financial Services expert Sudhir Kalidindi explains real-time fraud detection processing 100B+ events annually. Learn architectural patterns and tools to maximize performance while controlling costs for AI workloads and next-gen applications. Learn More: AWS News Blog: New Amazon EC2 P6-B200 instances powered by NVIDIA Blackwell GPUs to accelerate AI innovations: https://aws.amazon.com/blogs/aws/new-amazon-ec2-p6-b200-instances-powered-by-nvidia-blackwell-gpus-to-accelerate-ai-innovations/ Accelerating Fraud Detection in Financial Services with NVIDIA RAPIDS on AWS: https://github.com/aws-samples/ai-credit-fraud-workflow

We explore Google's latest venture into AI-focused investments. We examine the tech giant's approach to fostering the next wave of AI development. Discover the sectors and technologies this fund aims to support.Try AI Box: ⁠⁠https://AIBox.ai/⁠⁠AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

Jay Ruane kicks off the episode, revealing a "spectacular failure" with his firm's new AI voice product after significant investment, facing the reality that technology hasn't yet caught up with his vision. This leads to a candid discussion with Seth Price about balancing cutting-edge R&D with core business functions. They also delve into the challenges of scaling hiring, including the pitfalls of delegation and "process problems" within a growing law firm.

This episode covers the strategic goals behind Google's new AI fund. Discover the sectors and technologies this fund aims to support. Discover the sectors and technologies this fund aims to support.Try AI Box: ⁠⁠https://AIBox.ai/⁠⁠AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

In this episode of the Digital Velocity Podcast, Erik Martinez welcomes Dr. Cori Lathan — entrepreneur, neuroscientist, author, and trailblazer in wearable tech and neuroengineering — to explore how technology can augment human capability.  Dr. Lathan, currently CEO of De Oro Devices and former CEO of AnthroTronix, shares insights from her career inventing tools for space exploration, childhood disability education, brain health, and aging. She discusses how marketers and business leaders can use AI tools not just for efficiency, but to create meaningful change and improve capabilities.  The conversation touches on the rapid rise of AI-driven innovation, product adoption challenges, and the entrepreneurial mindset needed to turn vision into reality. Whether you're a CMO, founder, or marketing specialist, this episode will inspire you to think differently about the role of failure, invention, and future-building in business.  Topics include:  What it means to be a techno-optimist  Why AI isn't just a tool — it's a way to understand human behavior  Marketing innovation in the age-tech and medtech industries  How to approach failure, iteration, and timing in product development  Advice for leaders seeking to integrate emerging tech into their business models  This episode is a must-listen for those interested in marketing strategy, innovation, AI, and future-forward thinking.    InventTheFuture.Tech

https://youtu.be/kAYdIpcDnZkToday is a very brainy conversation. Matt had the chance to chat with Dr. Kyle Wedgwood and research intern Wiktor Wiejak from University of Exeter in England. Wedgwood's a mathematician specializing in neuroscience, and he's using a computer from FinalSpark. Matt just put out a full video on what's special about these computers, but in short, they're alive. They're made up of bundles of neurons, also known as organoids, and Dr. Wedgwood is using them to explore what he calls “the fundamentals” of how neurons work. Watch the Undecided with Matt Ferrell episode, Merging Humans and AI: The Rise of Biological Computers https://youtu.be/DfUkaE7HcnU?list=PLnTSM-ORSgi7uzySCXq8VXhodHB5B5OiQ(00:00) - - Intro (02:06) - - Dr Kyle Wedgwood & Wiktor Wiejak's Interview YouTube version of the podcast: https://www.youtube.com/stilltbdpodcastGet in touch: https://undecidedmf.com/podcast-feedbackSupport the show: https://pod.fan/still-to-be-determinedFollow us on X: @stilltbdfm @byseanferrell @mattferrell or @undecidedmfUndecided with Matt Ferrell: https://www.youtube.com/undecidedmf ★ Support this podcast ★

Josh Batson, a research scientist at Anthropic, joins Kevin Frazier, AI Innovation and Law Fellow at the Texas Law and Senior Editor at Lawfare, to break down two research papers—“Mapping the Mind of a Large Language Model” and “Tracing the thoughts of a large language model”—that uncovered some important insights about how advanced generative AI models work. The two discuss those findings as well as the broader significance of interpretability and explainability research.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.

AI is everywhere, but how much of it is actually helping marketers do their jobs better?  In this first episode of The AI Edit, we're separating the signal from the noise to help you understand how AI is really impacting marketing in 2025.  To kick us off, I'm joined by two people who help shape where Red Door is going—and how we help Clients evolve: our VP of Data & Innovation, Ron Hadler, and our President, John Faris. Together, we'll tackle the biggest question marketers are asking right now: What's actually working in AI, and what's just hype? 

Dell Technologies has announced Dell AI Factory advancements, including powerful and energy-efficient AI infrastructure, integrated partner ecosystem solutions and professional services to drive simpler and faster AI deployments. Why it matters AI is now essential for businesses, with 75% of organisations saying AI is key to their strategy and 65% successfully moving AI projects into production. However, challenges like data quality, security concerns and high costs can slow progress. The Dell AI Factory approach can be up to 62% more cost effective for inferencing LLMs on- premises than the public cloud and helps organizations securely and easily deploy enterprise AI workloads at any scale. Dell offers the industry's most comprehensive AI portfolio designed for deployments across client devices, data centres, edge locations and clouds. More than 3,000 global customers across industries are accelerating their AI initiatives with the Dell AI Factory. Dell infrastructure advancements help organizations deploy and manage AI at any scale Dell introduces end-to-end AI infrastructure to support everything from edge inferencing on an AI PC to managing massive enterprise AI workloads in the data center. Dell Pro Max AI PC delivers industry's first enterprise-grade discrete NPU in a mobile form factor The Dell Pro Max Plus laptop with Qualcomm AI 100 PC Inference Card is the world's first mobile workstation with an enterprise-grade discrete NPU. It offers fast and secure on-device inferencing at the edge for large AI models typically run in the cloud, such as today's 109-billion- parameter model. The Qualcomm AI 100 PC Inference Card features 32 AI-cores and 64 GB memory, providing power to meet the needs of AI engineers and data scientists deploying large models for edge inferencing. Dell redefines AI cooling with innovations that reduce cooling energy costs by up to 60% The industry-first Dell PowerCool Enclosed Rear Door Heat Exchanger (eRDHx) is a Dell- engineered alternative to standard rear door heat exchangers. Designed to capture 100% of IT heat generated with its self-contained airflow system, the eRDHx can reduce cooling energy costs by up to 60% compared to currently available solutions. With Dell's factory integrated IR7000 racks equipped with future-ready eRDHx technology, organizations can: Significantly cut costs and eliminate reliance on expensive chillers given the eRDHx operates with water temperatures warmer than traditional solutions (between 32 and 36 degrees Celsius). Maximise data center capacity by deploying up to 16% more racks of dense compute, without increasing power consumption. Enable air cooling capacity up to 80 kW per rack for dense AI and HPC deployments. Minimise risk with advanced leak detection, real-time thermal monitoring, and unified management of all rack-level components with the Dell Integrated Rack Controller. Dell PowerEdge servers with AMD GPUs maximize performance and efficiency Dell PowerEdge XE9785 and XE9785L servers will support AMD Instinct MI350 series GPUs, which offer 288 GB of HBM3E memory per GPU and deliver up to 35 times greater inferencing performance. Available in liquid-cooled and air-cooled configurations, the servers will reduce facility cooling energy costs. Dell advancements power efficient and secure AI deployments and workflows Because AI is only as powerful as the data that fuels it, organizations need a platform designed for performance and scalability. The Dell AI Data Platform updates improve access to high quality structured, semi-structured and unstructured data across the AI lifecycle. Dell Project Lightning is the world's fastest parallel file system per new testing, delivering up to two times greater throughput than competing parallel file systems. Project Lightning will accelerate training time for large-scale and complex AI workflows. Dell Data Lakehouse enhancements simplify AI workflows and accelerate use cases - such as recommendation engines, semantic...

We explore Google's latest venture into AI-focused investments. We examine the tech giant's approach to fostering the next wave of AI development. This episode covers the strategic goals behind Google's new AI fund.Try AI Box: ⁠⁠https://AIBox.ai/⁠⁠AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

Balancing AI Innovation with Human-Centered Healthcare: A CDO's Perspective Eric Smith shares how Memorial Hermann Health System is revolutionizing healthcare delivery through responsible AI implementation. Learn how their pioneering governance model ensures technology enhances rather than replaces human connection, while improving operational efficiency and patient outcomes across one of Texas' largest health systems. • Strategic AI governance is crucial for responsible healthcare innovation • Technology implementation must prioritize both operational efficiency and human connection • Successful digital transformation requires strong partnerships between clinical and technical teams • AI can enhance personalized care delivery while reducing administrative burden To stream our Station live 24/7 visit www.HealthcareNOWRadio.com or ask your Smart Device to “….Play Healthcare NOW Radio”. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

Page Hedley, Senior Advisor at Forecasting Research Institute and co-author of the Not for Private Gain letter urging state attorneys general to stop OpenAI's planned restructuring, and Gad Weiss, the Wagner Fellow in Law & Business at NYU Law, join Kevin Frazier, AI Innovation and Law Fellow at Texas Law and Senior Editor at Lawfare, and Alan Rozenshtein, Associate Professor at Minnesota Law and Senior Editor at Lawfare, to analyze news of OpenAI once again modifying its corporate governance structure. The group break down the rationale for the proposed modification, the relevant underlying law, and the significance of corporate governance in shaping the direction of AI development.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.

Join host Paul Spain and Francesca Logan (Toku Eyes) and discover how Toku Eyes is using retinal photography and AI to detect and predict a range of health conditions. They also discuss tech news including a Wellington man's alleged $450 million crypto scam, Spark's partnership with Nokia for network efficiency, China's space-based supercomputer project, groundbreaking gene therapy success, Amazon's new warehouse robot, Elton John's criticism of AI copyright policy and more.Special thanks to our show partners 2degrees, One New Zealand, Spark New Zealand, HP, Workday and Gorilla Technology.

Join guest host Chris Carril with guests Matt Blakely and Dr. Jeff Heaton as they discuss RGA's sustainability efforts, responsibility to its community and stakeholders, and leveraging AI to help in those efforts. Matt Blakely leads RGA's global philanthropic, volunteerism, and sustainability reporting efforts. Since joining RGA in 2020, Matt and his team have developed and executed enterprise strategies that have enhanced the company's environmental sustainability and corporate citizenship. As of 2024, more than 60% of RGA employees participate in volunteerism, philanthropy, or sustainability causes. Additionally, RGA offsets 90% of its 2023 Scope 1 and 2 emissions globally.  Jeff Heaton, Vice President, AI Innovation, has over 23 years of experience in insurance underwriting, retrocession, and predictive analytics. He leads a team focused on fueling generative AI (GenAI) innovation across RGA, chairs the AI Council, and provides global advisory expertise on AI adoption. A recognized industry thought leader, Jeff publishes the RGA GenAI Quarterly Update and frequently speaks at SOA, GUAA, and IEEE events. He represents RGA as a board member of Washington University's Center for Analytics and Business Insights (CABI) and has contributed to academic and medical research.

Cullen O'Keefe, Research Director at the Institute for Law and AI, joins Kevin Frazier, AI Innovation and Law Fellow at Texas Law and a Contributing Editor at Lawfare, and Renée DiResta, Associate Research Professor at the McCourt School of Public Policy at Georgetown and a Contributing Editor at Lawfare, to discuss a novel AI governance framework. They dive into a paper he co-authored on the concept of "Law-Following AI" or LFAI. That paper explores a near-term future. Imagine AI systems capable of tackling complex computer-based tasks with expert human-level skill. The potential for economic growth, scientific discovery, and improving public services is immense. But how do we ensure these powerful tools operate safely and align with our societal values? That's the question at the core of Cullen's paper and this podcast.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.

Parisa Tabriz is vice president and general manager for Google Chrome, the world's leading browser platform. She leads efforts to make Chrome a secure and essential enterprise workspace, integrating AI and advanced cybersecurity to meet evolving business needs. In this episode, Parisa joins Bob to explore how Chrome is redefining the browser as a productivity and security platform, the role of AI in enterprise protection, and what's next for Chrome's innovations.Chrome at Google Cloud NextThe Big Themes:Chrome's Evolution into a Central Productivity and Security Platform: Over the past 17 years, Chrome has transformed from a simple web browser into a comprehensive platform integral to enterprise productivity and security. Users now spend a significant portion of their workday within Chrome, utilizing it for tasks ranging from document editing to video conferencing. This shift has positioned Chrome as the new endpoint in enterprise environments.Simplifying Enterprise Security with Chrome: Complexity is often the enemy of security. Chrome aims to simplify enterprise security by integrating protective measures directly into the browser, reducing the need for multiple, potentially conflicting security solutions. Features like automatic updates, built-in phishing protection, and centralized policy management allow IT teams to maintain a secure environment with less overheads.Personalization, Governance, and AI Empowerment: Chrome prioritizes features that allow organizations to personalize user experiences while maintaining strict governance over data and AI usage. Tools like data masking, controlled copy-paste functionalities, and the ability to designate approved AI applications help prevent data leaks and ensure compliance with internal policies. By providing these controls, Chrome empowers enterprises to harness the benefits of AI technologies responsibly.The Big Quote: ". . . the browser is the place where you can give people access to the benefits [of AI], but also make sure that you have the controls and governance to turn it off or make sure that your employees aren't copying and pasting data into an unsanctioned AI surface."More from Parisa Tabriz and Google Chrome:Connect with Parisa on LinkedIn or learn more about Google Chrome.

Guest: Christine Boyce, Global Innovation Leader at ManpowerGroup/Right Management“We have to stress-test innovation in the messiness of real-world hiring, not just ideal lab conditions.”-Christine BoyceIn this episode of Psych Tech @ Work, I'm joined by my longtime friend Christine Boyce, Global Innovation Leader at ManpowerGroup/Right Management, to explore how innovation — especially around AI — is reshaping hiring and talent development at scale, and why solving for trust, transparency, and operational realities matters more than ever.SummaryAt the heart of this conversation is the reality that scaling AI innovation in hiring brings massive complexity. While AI offers incredible promise, solving for accuracy, fairness, and operational reality becomes exponentially harder when you're dealing with a large number of unique clients.Christine Boyce, through her work at ManpowerGroup & Right Management, operates at the intersection of these challenges every day. Unlike internal talent acquisition leaders who focus on one organization's needs, Christine must help innovate across a vast client portfolio. Each client presents different barriers — from data limitations, to ethical concerns, to regulatory pressures — and innovation must be modular, defensible, and adaptable to succeed.This vantage point gives Christine a unique, big-picture view of how AI adoption really plays out across industries and markets.We dive into the practical challenges of innovating responsibly: earning trust, scaling solutions across diverse environments, and balancing speed with fairness. Christine's work at ManpowerGroup & Right Management highlights how innovation must be deeply disciplined if it is to achieve true scale and impact.The Core Challenge: Scaling Accuracy and FairnessAt the heart of using AI for hiring lies the challenge of achieving accuracy and fairness at scale. AI's true value isn't just its ability to make individual decisions — it's in processing vast amounts of data and automating judgment across thousands of candidates. However, scale magnifies both strengths and weaknesses: minor biases can grow into systemic problems, and small inefficiencies can snowball into major failures.Staffing firms like ManpowerGroup offer critical real-world lessons:* Scale forces discipline — Every AI tool must be rigorously vetted for fairness, transparency, and defensibility before deployment.* Real-world variation stresses the system for the better — Tools must flexibly adapt to diverse jobs, industries, and candidate pools. This makes the overall path of innovation better and drives great learnings across the board.* Speed must not erode trust — Productivity gains must still respect ethical standards and candidate experience.* External accountability keeps AI honest — Clients demand transparency, validation, and explainability before adoption.Real Barriers to AI Adoption: What Clients Are FacingDespite AI's potential, Christine identifies several persistent hurdles that she faces when serving her diverse slate of clients:* Resistance to Behavior Change: Even demonstrably valuable AI tools often struggle against entrenched workflows and distrust of automation.* Ethical and Trust Concerns: Clients demand AI systems that are transparent, explainable, and defensible, fearing reputational or regulatory risks.* Vendor Noise Overload: Saturation by "AI-washed" vendors makes it hard to differentiate true innovation from hype.* Mismatch Between Hype and Practical Needs: Clients need tools that solve today's operational problems — not just futuristic visions disconnected from reality.* Fear of Creeping AI Adoption: Organizations worry about AI capabilities being embedded into systems without visibility or intentionality.* Compliance and Regulation Anxiety: Global and local regulations (like the EU AI Act or pending US laws) create urgency for proven, compliant AI solutions.* Talent Data Readiness: Without clean, structured internal data, even the best AI solutions struggle to deliver meaningful results.These challenges aren't isolated — they reveal the broader realities companies must manage when trying to adopt AI responsibly at scale.Ultimately, client concerns have a hand in AI innovation because they are critical for the adoption of these technologies, shaping how staffing firms and vendors must design, validate, and deploy solutions.There's an inherent tension between the drive for scale and the need for trust, fairness, and operational reality.Christine's experience demonstrates that true innovation in AI for hiring isn't just about introducing new tools — it's about creating resilient, transparent systems that can adapt to real-world complexity. Managing the tension between speed, scale, trust, and fairness represents the path to a bright future. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit charleshandler.substack.com

Ben Brooks, a fellow at Harvard's Berkman Klein Center and former head of public policy for Stability AI, joins Kevin Frazier, AI Innovation and Law Fellow at Texas Law and Contributing Editor at Lawfare, to discuss a sudden and significant shift toward open-sourcing leading AI models and the ramifications of that pivot for AI governance at home and abroad. Ben and Kevin specifically review OpenAI's announced plans to release a new open-weights model.Coverage of OpenAI announcement: https://techcrunch.com/2025/03/31/openai-plans-to-release-a-new-open-language-model-in-the-coming-months/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.

Kal Amin is the President at 1848 Ventures, bringing 25 years of experience from companies like Google, Spotify, and Flipboard. In this conversation we explored how venture studios are evolving with AI, focusing on key topics like building defensible AI companies, the upcoming transfer of SMB ownership to a new generation, and how technology is changing the landscape for small business owners.EPISODE LINKS:• 1848 Ventures: https://1848ventures.comTIMESTAMPS:(00:00) Intro(02:00) What is an SMB? The $33M opportunity(04:15) Why hasn't this been done before?(07:23) How 1848 Ventures builds companies(11:45) The venture studio advantage(15:30) The great SMB transfer(19:40) Building defensible AI companies(23:15) Data as the new moat(25:00) Kal's journey (AOL, Google, Spotify)(31:45) What makes a great founder in 2024?(36:20) Why building products isn't enough(38:30) Finding and developing startup leadersCONNECT:• Website: https://hoo.be/elijahmurray• YouTube: https://www.youtube.com/@elijahmurray• Twitter: https://twitter.com/elijahmurray• Instagram: https://www.instagram.com/elijahmurray• LinkedIn: https://www.linkedin.com/in/elijahmurray/• Apple Podcasts: https://podcasts.apple.com/us/podcast/the-long-game-w-elijah-murray/• Spotify: https://podcasters.spotify.com/pod/show/elijahmurray• RSS: https://anchor.fm/s/3e31c0c/podcast/rss

Prioritizing real-world solutions and fostering a culture of innovation is key to successfully implementing new technologies in healthcare.  In this episode, Karli Arduini Ihde, Director of Innovation at Northwestern Medicine, discusses the organization's approach to evaluating and implementing innovative technology solutions. She highlights the challenge of navigating numerous AI options and the importance of selecting solutions that address key problems and show value within a 3–6 month pilot. Northwestern Medicine ensures responsible AI implementation with a team of data scientists who assess technologies for bias and effectiveness. Karli also shares how the organization is scaling AI innovation to improve efficiency and identify patient risks earlier than ever before. Tune in and learn why healthcare is on the cusp of transformative change! Resources: Connect with and follow Kali Arduini Ihde on LinkedIn. Learn more about Northwestern Medicine on their LinkedIn and website. Discover more about Northwestern Medicine's innovations here.

Andrew Bakaj, Chief Legal Counsel at Whistleblower Aid, joins Kevin Frazier, AI Innovation and Law Fellow at Texas Law and Contributing Editor at Lawfare, to discuss a declaration by a National Labor Relations Board employee Daniel Berulis that DOGE facilitated the exfiltration of potentially sensitive information to external sources. The two also analyze the merits of whistleblower protections more generally.Read more about the declaration here: https://www.npr.org/2025/04/15/nx-s1-5355896/doge-nlrb-elon-musk-spacex-securityFor a copy of the letter penned by several members of Congress, go here: https://www.npr.org/2025/04/24/nx-s1-5375118/congress-doge-nlrb-whistleblowerTo 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.

Join us for an exciting episode of The Edge of Show, live from the 2025 Digital Asset Summit in New York City! Explore how we sit down with industry leaders to explore the latest innovations in blockchain technology and its applications in institutional finance.In this episode, we welcome Olivia Vande Woude and Amy Zhao from Ava Labs, who discuss the unique features of the Ava Labs ecosystem, including customizable layer one blockchains and emerging use cases for institutions and how they are transforming the landscape of tokenized assets and government applications.Next, John Motzel, head of US for Kiko, explains how they are bridging the gap between traditional finance and digital assets by providing normalized data from various exchanges, including DEXs. Finally, Shyam Nagarajan, CEO of Hedera, shares his vision for the intersection of blockchain and AI. He highlights Hedera's role as a trust layer for AI applications and the potential for tokenization in the evolving landscape of digital assets.Tune in to learn about the cutting-edge developments in blockchain technology, the future of DeFi, and how institutions are leveraging these innovations to drive growth in the digital asset space.Don't forget to like, subscribe, and hit the notification bell for more episodes!Support us through our Sponsors! ☕

Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7SThis episode was a standout—we had to reshare it.In this episode, Ryan Staley discusses the silent AI revolution, highlighting how many employees are secretly leveraging AI to enhance their productivity without their organization's knowledge. He explores the concept of the shadow AI economy, where a significant percentage of employees use personal AI tools due to lack of training or restrictions from their employers. Staley provides actionable strategies for organizations to embrace AI innovation, including anonymous surveys, innovation amnesty programs, and reward systems for sharing AI successes.Chapters00:00 The Silent AI Revolution05:47 Strategies for Embracing AI Innovation

Chris Hughes, author of “Marketcrafters” and co-founder of the Economic Securities Project, joins Kevin Frazier, AI Innovation and Law Fellow at Texas Law and Contributing Editor at Lawfare, to discuss his book and its implications at a time of immense economic uncertainty and political upheaval. The duo explore several important historical case studies that Chris suggests may have lessons worth heeding in the ongoing struggle to direct markets toward the public good.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.

Daniel Kokotajlo, former OpenAI researcher and Executive Director of the AI Futures Project, and Eli Lifland, a researcher with the AI Futures Project, join Kevin Frazier, AI Innovation and Law Fellow at Texas Law and Contributing Editor at Lawfare, to discuss what AI may look like in 2027. The trio explore a report co-authored by Daniel that dives into the hypothetical evolution of AI over the coming years. This novel report has already elicited a lot of attention with some reviewers celebrating its creativity and others questioning its methodology. Daniel and Eli tackle that feedback and help explain the report's startling conclusion—that superhuman AI will develop within the next decade.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.

Hillary Hartley, the former Chief Digital Officer of Ontario and former Co-Founder and Deputy Executive Director at 18F, and David Eaves, Associate Professor of Digital Government and Co-Deputy Director of the Institute for Innovation and Public Purpose at University College London, join Kevin Frazier, AI Innovation and Law Fellow at Texas Law and Contributing Editor at Lawfare, to discuss the recent closure of 18F, a digital unit within the GSA focused on updating and enhancing government technological systems and public-facing digital services. Hillary and David also published a recent Lawfare article on this topic, “Learning from the Legacy of 18F.”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.

Adam Thierer, Senior Fellow for the Technology & Innovation team at R Street, joins Kevin Frazier, the AI Innovation and Law Fellow at the UT Austin School of Law and a Contributing Editor at Lawfare, to review public comments submitted in response to the Office of Science and Technology Policy's Request for Information on the AI Action Plan. The pair summarize their own comments and explore those submitted by major labs and civil society organizations. They also dive into recent developments in the AI regulatory landscape, including a major veto by Governor Youngkin in Virginia.Readings discussed:Kevin on Vance's America First, America Only Approach to AIKeegan and Adam on AI Safety Treatises Kevin on Proposed Firings at NISTDean and Alan on PreemptionTo 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.