Podcasts about eu ai

Delia Ramirez warns against Trump voter suppression, Alexandra Geese explains EU AI healthcare lessons, and Newsom fails workers by rejecting a billionaire wealth tax. Subscribe to our Newsletter:https://politicsdoneright.com/newsletterPurchase our Books: As I See It: https://amzn.to/3XpvW5o How To Make AmericaUtopia: https://amzn.to/3VKVFnG It's Worth It: https://amzn.to/3VFByXP Lose Weight And BeFit Now: https://amzn.to/3xiQK3K Tribulations of anAfro-Latino Caribbean man: https://amzn.to/4c09rbE

Alexandra Geese explains EU lessons on AI and healthcare as Sanders challenges AI oligarchs and Bolivia erupts against elite betrayal.Subscribe to our Newsletter:https://politicsdoneright.com/newsletterPurchase our Books: As I See It: https://amzn.to/3XpvW5o How To Make AmericaUtopia: https://amzn.to/3VKVFnG It's Worth It: https://amzn.to/3VFByXP Lose Weight And BeFit Now: https://amzn.to/3xiQK3K Tribulations of anAfro-Latino Caribbean man: https://amzn.to/4c09rbE

Thank you to everyone who tuned into my live video! * European Parliament Member Alexandra Geese discusses AI and healthcare in the EU: Alexandra Geese, an UE Parliament member discusses AI, healthcare, and much more illustration that the US could learn much from Europe.* Sanders Introduces Bill to ‘Thwart Big Tech Oligarchs' Via 50%… To hear more, visit egberto.substack.com

Guest post by Adam Spearing, VP of AI GTM, EMEA at ServiceNow Organisations in Europe are under pressure to adopt AI at speed, all the while operating in a highly complex and ever-changing regulatory and risk environment. Even now, the EU's AI Act is shifting the landscape for organisations operating in the region, with Article 72 of the AI Act coming into force and creating new regulations on the monitoring of high-risk AI systems. For these organisations, scaling AI safely in this complex regulatory environment is a constant challenge. They face the risk of fragmenting systems, as well as losing visibility of how AI is used or introducing unmanaged risk. The real opportunity is not to be found in buying new yet disconnected AI tools, but when AI is embedded directly into secure, governed workflows from the very start. For those facing regulation headaches, integrating governance tools into a workflow alongside data is becoming increasingly vital. Forward-thinking companies are even adopting a predictive approach when it comes to AI, anticipating risks and regulatory changes and mitigating them before they occur. Building AI that lasts Taking a more thoughtful, measured approach pays off when it comes to AI. Companies who hold back from 'rushing in' to AI and adopt a more thoughtful approach can actually accelerate faster over the medium to long term. Imagine it as something like an 'AI factory' – business leaders need to qualify which processes will benefit, assess the 'right' level of AI, then deploy that within governed workflows. An important part of that is 'qualifying out' which processes are not suitable due to AI due to factors such as risk. Having a data model and AI integrated deeply into governed workflows means that governance can scale without fragmenting. In today's world, this is crucial. The EU AI act has made it urgent to find a path between embracing AI too rapidly and feeling paralysed by fears around risk and compliance. Over-cautious companies are set to fall behind, but rushing blindly into AI carries the risk of creating governance debt: organisations without adequate governance cannot demonstrate compliance, and will not be able to scale and reap the benefits of AI. Many organisations are still stuck in this gulf between responsiveness and responsibility: business leaders need responsiveness from generative AI, delivering insights rapidly, but also must keep regulators happy by behaving responsibly. Having workflow-native AI means that requirements such as transparency and oversight in the EU AI Act become architectural, with governance built in, rather than bolted on, after the fact, to disparate AI tools. Combatting future risk As I see it: reactive AI governance is a hindrance; proactive AI governance is an accelerator to business value. The next challenge is operationalising this through what I call 'governed acceleration'. With new AI regulations emerging in different regions and adherence reaching across borders, forward-thinking organisations are turning to AI tools themselves to be prepared for this evolving governance landscape. Chosen correctly, the right AI technology can help organisations stay ahead of the systems that govern AI, by enforcing compliance, for example. This means that the right technology choices deliver a self-reinforcing, circular advantage. Governance is growing in importance, with the role of the CIO now encompassing issues such as model training, algorithmic bias and organisational culture. As a result, a clear governance structure is key. There should be a single, well-defined owner of AI governance, be that the legal department, the chief data officer, the CIO or a chief AI officer. This person or team takes responsibility to implement consistent frameworks around third-party AI tools, assessing and managing risks and regulatory compliance. This enables organisations to innovate quickly and confidently, while maintaining control. When governance becomes invisible W...

Welcome to the Daily Compliance News. Each day, Tom Fox, the Voice of Compliance, brings you compliance-related stories to start your day. Sit back, enjoy a cup of morning coffee, and listen in to the Daily Compliance News. All, from the Compliance Podcast Network. Each day, we consider four stories from the business world, compliance, ethics, risk management, leadership, or general interest for the compliance professional. Top stories include: Germany greenlights EU AI law. (ComputerWorld) Does Egyptian social law allow bribery? (Law360) The National Security whistleblower complaint is named Jared Kushner. (WSJ) AAG for Anti-trust wouldn't play with payors, so she's gone. (WSJ) Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Top in Tech, David Swanson, Senior Associate is joined by Megan Stagman, Director, Ysabel Chen, Associate, Divya Singh, Senior Associate and Saskia Giraud-Reeves, Senior Associate to reflect on key takeaways from this year's World Economic Forum in Davos, mark the anniversary of the UK's AI Opportunities Action Plan, and compare progress on AI adoption in the UK and EU. They discuss how this year's Davos differed from previous gatherings, the evolving debate on digital sovereignty, the role of technology and energy policy in shaping AI adoption, and the key issues to watch in 2026. Hosted on Acast. See acast.com/privacy for more information.

Send us a textIn these unpredictable times of multipolar tensions, shifting tariffs, AI disruption, and escalating cyber threats, small and medium business owners face more chaos than ever before. If you're an entrepreneur, solo operator, or leading an SMB team, ignoring these dangers could cost you everything—revenue, employees, and your livelihood.In this episode of Mastering Risk, Dr. Jeff Donaldson breaks down the 5 critical risks every small business must address in 2026, and delivers practical, step-by-step, mostly free strategies to mitigate them before it's too late.You'll learn:Why cyber is still the #1 global business risk and the dead-simple habits (no-click links, air-gapped backups, MFA, patch discipline) that protect you without big budgets.The real AI danger isn't job loss, it's employees unknowingly handing your sensitive data to public tools. Discover how to use AI safely and powerfully inside controlled, paid systems.How one supplier failure can shut you down overnight and the "10-contract" redundancy model to keep operations flowing no matter what.Navigating explosive regulatory changes (EU AI rules, tariffs, privacy laws) by building upstream relationships for early warnings and strategic advantage.Why your personal online behaviour is now your business reputation, and the crisis communication playbook to survive public backlash.These aren't theoretical ideas. They're battle-tested tactics from supply chain logistics, cyber defence, and real-world SMB consulting at Preparedness Labs Incorporated.Whether you're on the fence about entrepreneurship or fighting to keep your business thriving, this episode equips you to turn uncertainty into opportunity and seize market share while others scramble.Visit preparednesslabs.ca for your FREE entrepreneur risk download, Fractional Chief Risk Officer services, and more tools to master risk in chaotic times.https://preparednesslabs.caWhy politics and business do not mix:https://youtu.be/6ZHiAnydk0I?si=_JWuFFldozS1VLy_DISCLOSURE Information shared here is for educational purposes only.  Individuals and business owners should evaluate their own business strategies, and identify any potential risks.  The information shared here is not a guarantee of success. Your results may vary.Copyright © 2026.Support the showhttps://preparednesslabs.ca/

Send us a textAs we kick off 2026, the world feels more unpredictable than ever, political shifts, economic pressures, tariffs, cyber threats, and global chaos are hitting small businesses hard. If you're a solo entrepreneur, side hustler, or thinking about scaling (or even launching) your independent business, ignoring these forces could be costly.In this episode of Mastering Risk, Dr. D breaks down the four critical risks every lean business owner must address right now, risks you can actually control in a world where almost everything else is out of your hands. You'll discover:-Why cybersecurity is no longer optional. Simple, affordable steps (password managers, patches, 2FA, off-site backups) that prevent disaster (plus why managed service providers are a game-changer for small ops)-How inflation, tariffs, and regulatory changes (like the new EU AI rules starting June 2026) are silently squeezing margins, and the KISS principle to stay compliant without overwhelm-The hidden danger of overload, burnout, and scaling limits — how to automate ethically with AI (saving 12–16 hours/week), keep systems dead simple, and always leave white space in your calendar-The surprising #4: You win in collectives, why solo grinding is a myth, and how building real human relationships, joining entrepreneur networks, and leveraging social capital will exponentially boost your successThis isn't theory, it's battle-tested advice from recent expert immersions, real-world experience, and years of studying risk as a professor and entrepreneur.Whether you're questioning "Is now the time to launch?" or ready to take your business to the next level, watch this episode to gain clarity and confidence in turbulent times.https://preparednesslabs.caDISCLOSURE Information shared here is for educational purposes only.  Individuals and business owners should evaluate their own business strategies, and identify any potential risks.  The information shared here is not a guarantee of success. Your results may vary.Copyright © 2026.Support the showhttps://preparednesslabs.ca/

Graham Dufault, General Counsel at ACT | The App Association, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to explore how small- and medium-sized enterprises (SMEs) are navigating the EU's AI regulatory framework. The duo breakdown the Association's recent survey of SMEs, which included the views of more than 1,000 enterprises and assessed their views on regulation and adoption of AI. Follow Graham: @GDufault and ACT | The App Association: @actonline Hosted on Acast. See acast.com/privacy for more information.

We explore how AI and behavioural science can make debt collection more humane, more effective, and easier to scale across Europe. PAIR Finance explains reinforcement learning, a single international platform, and why recovery and retention go hand in hand.• AI-driven collections with behavioural science• Reinforcement learning optimising tone, timing, channels• One platform operating in 11+ European markets• Compliance with EU AI rules and local licenses• Recovery rates improved while protecting retention• Inbound automation with a generative AI agent• Human support for complex and sensitive cases• Event strategy for partnerships and education• Unified dashboards and transparency for clientsTo connect and keep up to date with all the latest, head over to www.jointheconnector.com or hit subscribe via your podcast streaming platformThank you for tuning into our podcast about global trends in the FinTech industry.Check out our podcast channel.Learn more about The Connector. Follow us on LinkedIn.CheersKoen Vanderhoydonkkoen.vanderhoydonk@jointheconnector.com#FinTech #RegTech #Scaleup #WealthTech

In this episode, we explore the intriguing balance between innovation and data privacy as we approach the AI Age. How will future technologies like AI, digital neural networks, and large language models reshape our world by 2045 or 2050? We'll dive into the implications of EU AI regulations and GDPR, discussing how they impact digital trust and ethics. Join host Punit Bhatia as he shares insights on how leaders are tackling these pressing issues in privacy laws and AI technology. Tune in for a thought-provoking discussion on the future of privacy that will keep you informed and engaged.KEY CONVERSATIONS 00:02:29 How do you see the future in 2045 or 2050? Will it all be digital? 00:13:27 How does one balance privacy and innovation? 00:19:39 Hypothetical question: An option to embed a chip on yourself, would you take it? 00:21:39 Understanding Digital Neural Network 00:27:06 About Nicola's Book: Artificial Intelligence, Neural Networks & Privacy 00:34:53 Where can we people get Nicola's current and upcoming books  ABOUT THE GUEST Nicola Fabiano is a distinguished Italian lawyer with a rich background in data protection, privacy, and artificial intelligence (AI) regulation. As an adjunct professor at Ostrava University in Rome and a former President of the San Marino Data Protection Authority, he brings a wealth of expertise to the table. Nicola has served as a national expert for the Republic of San Marino on key committees of the Council of Europe, including those focused on Convention No. 108 and the Ad hoc Committee on Artificial Intelligence. With his extensive experience as a government advisor for drafting legislation on personal data protection and his innovative contributions such as the Data Protection and Privacy Relationships Model (DAPPREMO), Nicola is at the forefront of shaping AI policy and ethics. He is a certified professional in various domains including security management, data protection, and privacy assessment. Nicola's memberships in prestigious organizations like the European AI Alliance and his role as a technical expert for the European Data Protection Board further highlight his influence in the field. With numerous publications to his name, Nicola Fabiano continues to be a leading voice in the intersection of law, technology, and ethics.  ABOUT THE HOST  Punit Bhatia is one of the leading privacy experts who works independently and has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organization culture with high privacy awareness and compliance as a business priority. Selectively, Punit is open to mentor and coach privacy professionals.  Punit is the author of books “Be Ready for GDPR'' which was rated as the best GDPR Book, “AI & Privacy – How to Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 30 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts.  As a person, Punit is an avid thinker and believes in thinking, believing, and acting in line with one's value to have joy in life. He has developed the philosophy named ‘ABC for joy of life' which passionately shares. Punit is based out of Belgium, the heart of Europe. RESOURCES Websites www.fit4privacy.com,www.punitbhatia.com, https://www.linkedin.com/in/nicfab/, https://www.fabiano.law/en/ , https://growskills.store/  Podcast https://www.fit4privacy.com/podcast Blog https://www.fit4privacy.com/blog YouTube http://youtube.com/fit4privacy 

In this episode, we explore the intriguing balance between innovation and data privacy as we approach the AI Age. How will future technologies like AI, digital neural networks, and large language models reshape our world by 2045 or 2050? We'll dive into the implications of EU AI regulations and GDPR, discussing how they impact digital trust and ethics. Join host Punit Bhatia as he shares insights on how leaders are tackling these pressing issues in privacy laws and AI technology. Tune in for a thought-provoking discussion on the future of privacy that will keep you informed and engaged.KEY CONVERSION 00:02:29 How do you see the future in 2045 or 2050? Will it all be digital? 00:13:27 How does one balance privacy and innovation? 00:19:39 Hypothetical question: An option to embed a chip on yourself, would you take it? 00:21:39 Understanding Digital Neural Network 00:27:06 About Nicola's Book: Artificial Intelligence, Neural Networks & Privacy 00:34:53 Where can we people get Nicola's current and upcoming booksABOUT THE GUEST Nicola Fabiano is a distinguished Italian lawyer with a rich background in data protection, privacy, and artificial intelligence (AI) regulation. As an adjunct professor at Ostrava University in Rome and a former President of the San Marino Data Protection Authority, he brings a wealth of expertise to the table. Nicola has served as a national expert for the Republic of San Marino on key committees of the Council of Europe, including those focused on Convention No. 108 and the Ad hoc Committee on Artificial Intelligence. With his extensive experience as a government advisor for drafting legislation on personal data protection and his innovative contributions such as the Data Protection and Privacy Relationships Model (DAPPREMO), Nicola is at the forefront of shaping AI policy and ethics. He is a certified professional in various domains including security management, data protection, and privacy assessment. Nicola's memberships in prestigious organizations like the European AI Alliance and his role as a technical expert for the European Data Protection Board further highlight his influence in the field. With numerous publications to his name, Nicola Fabiano continues to be a leading voice in the intersection of law, technology, and ethics. ABOUT THE HOST  Punit Bhatia is one of the leading privacy experts who works independently and has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organization culture with high privacy awareness and compliance as a business priority. Selectively, Punit is open to mentor and coach privacy professionals.  Punit is the author of books “Be Ready for GDPR'' which was rated as the best GDPR Book, “AI & Privacy – How to Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 30 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts.  As a person, Punit is an avid thinker and believes in thinking, believing, and acting in line with one's value to have joy in life. He has developed the philosophy named ‘ABC for joy of life' which passionately shares. Punit is based out of Belgium, the heart of Europe.RESOURCES Websites www.fit4privacy.com,www.punitbhatia.com, https://www.linkedin.com/in/nicfab/, https://www.fabiano.law/en/  Podcast https://www.fit4privacy.com/podcast Blog https://www.fit4privacy.com/blog YouTube http://youtube.com/fit4privacy 

Today Karl Koch, Co-Founder of the AI Whistleblower Initiative, joins The Cognitive Revolution to discuss the barriers preventing AI insiders from raising safety concerns, his organization's anonymous "Third Opinion" service connecting whistleblowers with independent experts, and their campaign demanding frontier AI companies publish their internal whistleblowing policies to address widespread retaliation and lack of transparency. Check out our sponsors: Oracle Cloud Infrastructure, Shopify. Shownotes below brought to you by Notion AI Meeting Notes - try one month for free at ⁠⁠⁠⁠https://⁠⁠notion.com/lp/nathan AI Whistleblower Initiative Origins: Founded by Karl Koch in Berlin, the initiative began with research in early 2024 after consulting with over 100 governance researchers and insiders. Link to the website: https://aiwi.org/ "Third Opinion" Proposition: Launched in late 2024, this program systematically breaks down barriers for insiders to speak up about AI concerns while ensuring their issues are addressed. Publish Your Policies Campaign: The initiative calls for AI companies to publish their whistleblowing and speaking up policies, with 100% of surveyed insiders supporting this transparency measure. Link to the campaign: https://aiwi.org/publishyourpolicies/ Anonymous Consultation Process: Whistleblowers can seek advice without sharing confidential information through an open-source anonymous tool accessed via Tor browser. Pro Bono Legal Counsel: Whistleblowers receive connections to experienced legal representation with client privilege protection at any stage of their journey. Policy Advocacy: Beyond direct support, the initiative works on advocating for better whistleblower protections in both US policy and EU AI regulations. AI Whistleblower Initiative Survey: https://bit.ly/AIWISurvey PRODUCED BY: https://aipodcast.ing

In this episode, we cover the renewed debate over U.S. approval of Nvidia's H20 chip exports to China, from political pushback in Washington to reactions in Beijing (00:30). We also examine how the AI industry is responding to the EU AI Code of Practice and the reasons some companies are choosing not to sign (44:53). Read Gregory C. Allen's report on DeepSeek here. Watch or listen to our event with OSTP Director Michael Kratsios here.

In today's MadTech Daily, we cover Google joining the EU's AI Code of Practice and AI boosting engagement on Meta platforms. We also look at Barb beginning to track YouTube TV viewing, and TikTok debuting a positive-only version of its app in the EU.

It's a sad weekend over at Bluesky, where one of the best accounts has disappeared — though we can still hope for its resurrection. Also, TikTok is developing a new version of its app for U.S. users ahead of an expected sale of the app to a group of investors, according to a new report from The Information; Academics may be leaning on a novel strategy to influence peer review of their research papers — adding hidden prompts designed to coax AI tools to deliver positive feedback; and the European Union said it will stick to its timeline for rolling out its AI legislation, ignoring calls by tech companies to delay the bloc's AI rules. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode of the Mobile Dev Memo podcast, I speak with returning guest Mikołaj Barczentewicz on the current state of DMA enforcement, including the recently-released text of the European Commission's April decision on Meta's Pay or Okay business model. Mikołaj returns to the podcast for his fourth appearance — he's a professor of law at the University of Surrey and holds a PhD in Law from the University of Oxford. He also regularly publishes insightful commentary on the EU regulatory landscape on his blog, EU Tech Reg.Among other things, we episode covers:An overview of the EC's April decision related to Meta's Pay or Okay model;What the EC says about the economic impact of DMA enforcement with its decision; The changes that Meta made to its business model in the EU after the EC and EDPB published their preliminary guidance on its Pay-or-Okay model; How this decision impacts other so-called gatekeepers; The knock-on economic implications of this decision;The latest developments in EU AI regulation.Thanks to the sponsors of this week's episode of the Mobile Dev Memo podcast:INCRMNTAL⁠⁠. True attribution measures incrementality, always on.⁠⁠⁠Clarisights⁠⁠⁠. Marketing analytics that makes it easy to get answers, iterate fast, and show the impact of your work. Go to⁠⁠⁠ clarisights.com/demo⁠⁠⁠ to try it out for free.Interested in sponsoring the Mobile Dev Memo podcast? Contact ⁠Marketecture⁠.

In this episode, Carmen Bellebna will share with us the journey of deepeye Medical to implement the EU AI act requirements in parallel with the EU MDR certification. We will review first what is the AI ACT for those that are still not aware and also all the challenges that deepeye went through to be able to get the EU MDR certification.  Who is Carmen Bellebna?  Carmen Bellebna is a Regulatory Affairs and Quality Management expert at deepeye Medical, a medtech company pioneering AI-driven solutions for ophthalmology. With a strong background in implementing EU regulatory frameworks, Carmen has been closely following the evolution of the Artificial Intelligence Act (AI Act) and its intersection with the Medical Device Regulation (MDR). She has played a key role in integrating AI-specific compliance strategies into deepeye's QMS, ensuring alignment with both MDR and upcoming AI requirements. Carmen recently delivered a well-received presentation at the Outsourcing in Clinical Trials (OCT) conference in Munich, where she shared hands-on insights and practical tips for operationalizing AIA obligations within a regulated medtech environment.     Who is Monir El Azzouzi?  Monir El Azzouzi is the founder and CEO of Easy Medical Device a Consulting firm that is supporting Medical Device manufacturers for any Quality and Regulatory affairs activities all over the world. Monir can help you to create your Quality Management System, Technical Documentation or he can also take care of your Clinical Evaluation, Clinical Investigation through his team or partners. Easy Medical Device can also become your Authorized Representative and Independent Importer Service provider for EU, UK and Switzerland.  Monir has around 16 years of experience within the Medical Device industry working for small businesses and also big corporate companies. He has now supported around 100 clients to remain compliant on the market. His passion to the Medical Device filed pushed him to create educative contents like, blog, podcast, YouTube videos, LinkedIn Lives where he invites guests who are sharing educative information to his audience. Visit easymedicaldevice.com to know more.  Link Carmen Bellebna LinkedIn:  https://www.linkedin.com/in/men-be-a1828a81/   Social Media to follow Monir El Azzouzi Linkedin: https://linkedin.com/in/melazzouzi Twitter: https://twitter.com/elazzouzim Pinterest: https://www.pinterest.com/easymedicaldevice Instagram: https://www.instagram.com/easymedicaldevice Authorized Representative and Importer services:https://easymedicaldevice.com/authorised-representative-and-importer/ 

Years after first identifying the potential risks of AI systems, world leaders are having to balance concerns with an acknowledgment of the gains achievable through certain AI systems and nowhere is this more true than the EU.The Artificial Intelligence Action Summit in Paris has seen a number of high-profile announcements made on EU AI investments, on both a continental and regional basis. But it's also highlighted the distance the EU has yet to go for true international AI competition – up against the likes of the US and China, can it continue to stand out? In this episode, Jane and Rory welcome Nader Henein, Gartner VP Analyst, Data Protection and AI Governance, to discuss the finer details of EU AI and how public-private partnerships balance with its strong legal requirements for the technology.Read more:UK and US reject Paris AI summit agreement as “Atlantic rift” on regulation growsUnraveling the EU AI ActThe EU just shelved its AI liability directiveA big enforcement deadline for the EU AI Act just passed – here's what you need to knowLooking to use DeepSeek R1 in the EU? This new study shows it's missing key criteria to comply with the EU AI ActHow the EU AI Act compares to other international regulatory approachesUK regions invited to apply for ‘AI Growth Zone' status

「“AIサミット”共同声明　アメリカ・イギリスは署名せず　EUはAIに31兆円投資へ 」　パリで行われていたAI（人工知能）を巡るサミットで、アメリカとイギリスが共同声明に署名をせず、スタンスの違いが浮き彫りになりました。「AIアクションサミット」は閉幕日の11日、首脳級会合を開き、EU（ヨーロッパ連合）はAI分野への投資を募り2000億ユーロ、約31兆円を目標にすると発表しました。一方、アメリカのバンス副大統領は「アメリカのAI技術が世界の基準であり続ける」と述べ、過度な規制には反対すると主張しました。共同声明には「AIのリスクに対処し、透明性に関する作業を継続する」ことなどが盛り込まれ、日本や中国、フランスなど60の国と地域が署名しましたが、アメリカとイギリスは署名せず、AI推進を巡るスタンスの違いが浮き彫りになりました。

Another week, another whirlwind of AI chaos, hype, and industry shifts. If you thought things were settling down, well, think again because this week, I'm tackling everything from AI regulations shaking up the industry to OpenAI's latest leap that isn't quite the leap it seems to be. Buckle up because there's a lot to unpack. With that, here's the rundown. EU AI Crackdown – The European Commission just laid down a massive framework for AI governance, setting rules around transparency, accountability, and compliance. While the U.S. and China are racing ahead with an unregulated “Wild West” approach, the EU is playing referee. However, will this guidance be enough or even accepted? And, why are some companies panicking if they have nothing to hide? Musk's “Inexperienced” Task Force – A Wired exposé is making waves, claiming Elon Musk's team of young engineers is influencing major government AI policies. Some are calling it a threat to democracy; others say it's a necessary disruption. The reality? It may be a bit too early to tell, but it still has lessons for all of it. So, instead of losing our minds, let's see what we can learn. OpenAI o3 Reality Check – OpenAI just dropped its most advanced model yet, and the hype is through the roof. With it comes Operator, a tool for building AI agents, and Deep Research, an AI-powered research assistant. But while some say AI agents are about to replace jobs overnight, the reality is a lot messier with hallucinations, errors, and human oversight still very much required. So is this the AI breakthrough we've been waiting for, or just another overpromise? Physical AI Shift – The next step in AI requires it to step out of the digital world and into the real one. From humanoid robots learning physical tasks to AI agents making real-world decisions, this is where things get interesting. But here's the real twist: the reason behind it isn't about automation; it's about AI gaining real-world experience. And once AI starts gaining the context people have, the pace of change won't just accelerate, it'll explode. Show Notes: In this Weekly Update, Christopher explores the EU's new AI guidelines aimed at enhancing transparency and accountability. He also dives into the controversy surrounding Elon Musk's use of inexperienced engineers in government-related AI projects. He unpacks OpenAI's major advancements including the release of their 3.0 advanced reasoning model, Operator, and Deep Research, and what these innovations mean for the future of AI. Lastly, he discusses the rise of contextual AI and its implications for the tech landscape. Join us as we navigate these pivotal developments in business technology and human experience. 00:00 - Introduction and Welcome 01:48 - EU's New AI Guidelines 19:51 - Elon Musk and Government Takeover Controversy 30:52 - OpenAI's Major Releases: Omni3 and Advanced Reasoning 40:57 - The Rise of Physical and Contextual AI 48:26 - Conclusion and Future Topics #AI #Technology #ElonMusk #OpenAI #ArtificialIntelligence #TechNews

In this episode, I interview Risto Uuk, the EU Research Lead at the Future of Life Institute in Brussels. He researches European Union Artificial Intelligence policy, including the EU Artificial Intelligence Act. Risto is a PhD researcher at KU Leuven studying the assessment and risk-mitigation of general purpose AI models. We have an expansive conversation covering the most groundbreaking parts of the EU AI Act, the negotiations behind it, and the broader applications and risks of artificial intelligence throughout the world. I hope you enjoy this episode!

▼日本IBM 誰かに話したくなる"〇〇"の話https://sbwl.to/IBM-linkfire18:00のDAILY BRIEFフラッシュニュースです。このエピソードはAI音声で読み上げられています。【トピックはこちら】キエフで大規模攻撃、暖房停止イギリスの小売売上高、11月は期待下回る回復トランプ、EUに米国産エネルギー購入要求フラッシュニュースはAIを使用して原稿の作成から読み上げまでを行なっています。読み間違え等お気づきの際は下記の投稿フォームへご報告お願い致します。https://survey.sonicbowl.cloud/form/4f4a4c70-9c98-45e6-bc1a-5a8efaa2bbed/■DAILY BRIEF+ Apple Podcastshttps://apple.co/46E6pY7■DAILY BRIEFオフィシャルXhttps://twitter.com/DailyBrief_DB▼日本IBM 誰かに話したくなる""〇〇""の話https://sbwl.to/IBM-linkfire

Welcome to the Daily Compliance News. Each day, Tom Fox, the Voice of Compliance, brings you compliance-related stories to start your day. Sit back, enjoy a cup of morning coffee, and listen to the Daily Compliance News. All from the Compliance Podcast Network. Each day, we consider four stories from the business world: compliance, ethics, risk management, leadership, or general interest for the compliance professional. In today's edition of Daily Compliance News: Former Tyson Foods CFO pleads guilty to drunk driving. (WSJ) Kenya impeaches deputy President. (Al Jazeera) Meta fires staff who abused $25 meal credits. (FT) An LLM which benchmarks Big AI's compliance under the EU AI law. (Tech Crunch) For more information on the Ethico Toolkit for Middle Managers, available at no charge by clicking here. Check out the full 3-book series, The Compliance Kids on Amazon.com. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on the Tech ONTAP podcast, Adam Gale joins us to discuss the new EU AI regulations and how they may impact you and your business.

Reed Smith emerging tech lawyers Andy Splittgerber in Munich and Cynthia O'Donoghue in London join entertainment & media lawyer Monique Bhargava in Chicago to delve into the complexities of AI governance. From the EU AI Act to US approaches, we explore common themes, potential pitfalls and strategies for responsible AI deployment. Discover how companies can navigate emerging regulations, protect user data and ensure ethical AI practices. ----more---- Transcript: Intro: Hello and welcome to Tech Law Talks, a podcast brought to you by Reed Smith's Emerging Technologies Group. In each episode of this podcast, we will discuss cutting-edge issues on technology, data, and the law. We will provide practical observations on a wide variety of technology and data topics to give you quick and actionable tips to address the issues you are dealing with every day.  Andy: Welcome to Tech Law Talks and our new series on artificial intelligence. Over the coming months, we'll explore the key challenges and opportunities within the rapidly evolving AI landscape globally. Today, we'll focus on AI and governance with a main emphasis on generative AI in a regional perspective if we look into Europe and the US. My name is Andy Splittgerber. I'm a partner in the Emerging Technologies Group of Reed Smith in Munich, and I'm also very actively advising clients and companies on artificial intelligence. Here with me, I've got Cynthia O'Donoghue from our London office and Nikki Bhargava from our Chicago office. Thanks for joining.  Cynthia: Thanks for having me. Yeah, I'm Cynthia O'Donoghue. I'm an emerging technology partner in our London office, also currently advising clients on AI matters.  Monique: Hi, everyone. I'm Nikki Bhargava. I'm a partner in our Chicago office and our entertainment and media group, and really excited to jump into the topic of AI governance. So let's start with a little bit of a basic question for you, Cynthia and Andy. What is shaping how clients are approaching AI governance within the EU right now?  Cynthia: Thanks, Nikki. The EU is, let's say, just received a big piece of legislation, went into effect on the 2nd of October that regulates general purpose AI and high risk general purpose AI and bans certain aspects of AI. But that's only part of the European ecosystem. The EU AI Act essentially will interplay with the General Data Protection Regulation, the EU's Supply Chain Act, and the latest cybersecurity law in the EU, which is the Network and Information Security Directive No. 2. so essentially there's a lot of for organizations to get their hands around in the EU and the AI act has essentially phased dates of effectiveness but the the biggest aspect of the EU AI act in terms of governance lays out quite a lot and so it's a perfect time for organizations to start are thinking about that and getting ready for various aspects of the AAC as they in turn come into effect. How does that compare, Nikki, with what's going on in the U.S.?  Monique: So, you know, the U.S. is still evaluating from a regulatory standpoint where they're going to land on AI regulation. Not to say that we don't have legislation that has been put into place. We have Colorado with the first comprehensive AI legislation that went in. And we also had, you know, earlier in the year, we also had from the Office of Management and Budget guidelines to federal agencies about how to procure and implement AI, which has really informed the governance process. And I think a lot of companies in the absence of regulatory guidance have been looking to the OMB memo to help inform what their process may look like. And I think the one thing I would highlight, because we're sort of operating in this area of unknown and yet-to-come guidance, that a lot of companies are looking to their existing governance frameworks right now and evaluating how they're both from a company culture perspective, a mission perspective, their relationship with consumers, how they want to develop and implement AI, whether it's internally or externally. And a lot of the governance process and program pulls guidance from some of those internal ethics as well.  Cynthia: Interesting, so I'd say somewhat similar in the EU, but I think, Andy, the consumer, I think the US puts more emphasis on, consumer protection, whereas the EU AI Act is more all-encompassing in terms of governance. Wouldn't you agree?  Andy: Yeah, that was also the question I wanted to ask Nikki, is where she sees the parallels and whether organizations, in her view, can follow a global approach for AI are ai governance and yes i like for the for the question you asked yes i mean the AI act is the European one is more encompassing it is i'm putting a lot of obligations on developers and deployers like companies that use ai in the end of course it also has the consumer or the user protection in the mind but the rules directly rated relating to consumers or users are I would say yeah they're limited. So yeah Nikki well what what's kind of like you always you always know US law and you have a good overview over European laws what is we are always struggling with all the many US laws so what's your thought can can companies in terms of AI governance follow a global approach?  Monique: In my opinion? Yeah, I do think that there will be a global approach, you know, the way the US legislates, you know, what we've seen is a number of laws that are governing certain uses and outputs first, perhaps because they were easier to pass than such a comprehensive law. So we see laws that govern the output in terms of use of likenesses, right, of publicity violations. We're also seeing laws come up that are regulating the use of personal information and AI as a separate category. We're also seeing laws, you know, outside of the consumer, the corporate consumer base, we're also seeing a lot of laws around elections. And then finally, we're seeing laws pop up around disclosure for consumers that are interacting with AI systems, for example, AI powered chatbots. But as I mentioned, the US is taking a number of cues from the EU AI Act. So for example, Colorado did pass a comprehensive AI law, which speaks to both obligations for developers and obligations to deployers, similar to the way the EU AI Act is structured, and focusing on what Colorado calls high risk AI systems, as well as algorithmic discrimination, which I think doesn't exactly follow the EU AI Act, but draws similar parallels, I think pulls a lot of principles. That's the kind of law which I really see informing companies on how to structure their AI governance programs, probably because the simple answer is it requires deployers at least to establish a risk management policy and procedure and an impact assessment for high risk systems. And impliedly, it really requires developers to do the same. Because developers are required to provide a lot of information to deployers so that deployers can take the legally required steps in order to deploy the AI system. And so inherently, to me, that means that developers have to have a risk management process themselves if they're going to be able to comply with their obligations under Colorado law. So, you know, because I know that there are a lot of parallels between what Colorado has done, what we see in our memo to federal agencies and the EU AI Act, maybe I can ask you, Cynthia and Andy, to kind of talk a little bit about what are some of the ways that companies approach setting up the structure of their governance program? What are some buckets that it is that they look at, or what are some of the first steps that they take?  Cynthia: Yeah, thanks, Nikki. I mean, it's interesting because you mentioned about the company-specific uses and internal and external. I think one thing, you know, before we get into the governance structure or maybe part of thinking about the governance structure is that for the EU AI Act, it also applies to employee data and use of AI systems for vocational training, for instance. So I think in terms of governance structure. Certainly from a European perspective, it's not necessarily about use cases, but about really whether you're using that high risk or general purpose AI and, you know, some of the documentation and certification requirements that might apply to the high risk versus general purpose. But the governance structure needs to take all those kinds of things into account. Account so you know obviously guidelines and principles about the you know how people use external AI suppliers how it's going to be used internally what are the appropriate uses you know obviously if it's going to be put into a chatbot which is the other example you used what are rules around acceptable use by people who interact with that chatbot as well as how is that chatbot set up in terms of what would be appropriate to use it for. So what are the appropriate use cases? So, you know, guidelines and policies, definitely foremost for that. And within those guidelines and policies, there's also, you know, the other documents that will come along. So terms of use, I mentioned acceptable use, and then guardrails for the chatbot. I mean, I mean, one of the big things for EU AI is human intervention to make sure if there's any anomalies or somebody tries to game it, that there can be intervention. So, Andy, I think that dovetails into the risk management process, if you want to talk a bit more about that.  Andy: Yeah, definitely. I mean, the risk management process in the wider sense, of course, like how do organizations start this at the moment is first setting up teams or you know responsible persons within the organization that take care of this and we're gonna discuss a bit later on how that structure can look like and then of course the policies you mentioned not only regarding the use but also how to or which process to follow when AI is being used or even the question what is AI and how do we at all find out in our organization where we're using AI and what is an AI system as defined under the various laws, also making sure we have a global interpretation of that term. And then that is a step many of our clients are taking at the moment is like setting up an AI inventory. And that's already a very difficult and tough step. And then the next one is then like per AI system that is then coming up in this register is to define the risk management process. And of course, that's the point where in Europe, we look into the AI Act and look what kind of AI system do we have, high risk or any other sort of defined system. Or today, we're talking about the generative AI systems a bit more. For example, there we have strong obligations in the European AI Act on the providers of such generative AI. So less on companies that use generative AI, but more on those that develop and provide the generative AI because they have the deeper knowledge on what kind of training data is being used. They need to document how the AI is working and they need to also register this information with the centralized database in the European Union. They also need to give some information on copyright protected material that is contained in the training data so there is quite some documentation requirements and then of course so logging requirements to make sure the AI is used responsibly and does not trigger higher are risks. So there's also two categories of generative AI that can be qualified. So that's kind of like the risk management process under the European AI Act. And then, of course, organizations also look into risks into other areas, copyright, data protection, and also IT security. Cynthia, I know IT security is one of the topics you love. You add some more on IT security here and then we'll see what Nikki says for the US.  Cynthia: Well, obviously NIST 2.0 is coming into force. It will cover providers of certain digital services. So it's likely to cover providers of AI systems in some way or other. And funny enough, NIST 2.0 has its own risk management process involved. So there's supply chain due diligence involved, which would have to be baked into a risk management process for that. And then the EU's ENISA, Cybersecurity Agency for the EU, has put together a framework for cybersecurity, for AI systems, dot dot binding. But it's certainly a framework that companies can look to in terms of getting ideas for how best to ensure that their use of AI is secure. And then, of course, under NIST, too, the various C-Certs will be putting together various codes and have a network meeting late September. So we may see more come out of the EU on cybersecurity in relation to AI. But obviously, just like any kind of user of AI, they're going to have to ensure that the provider of the AI has ensured that the system itself is secure, including if they're going to be putting trained data into it, which of course is highly probable. I just want to say something about the training data. You mentioned copyright, and there's a difference between the EU and the UK. So in the UK, you cannot use, you know, mine data for commercial purposes. So at one point, the UK was looking at an exception to copyright for that, but it doesn't look like that's going to happen. So there is a divergence there, but that stems from historic UK law rather than as a result of the change from Brexit. Nikki, turning back to you again, I mean, we've talked a little bit about risk management. How do you think that that might differ in the US and what kind of documentation might be required there? Or is it a bit looser?  Monique: I think there are actually quite a bit of similarities that I would pull from what, you know, we have in the EU. And Andy, I think this goes back to your question about whether companies can establish a global process, right? In fact, I think it's going to to be really important for companies to see this as a global process as well. Because AI development is going to happen, you know, throughout the world. And it's really going to depend on where it's developed, but also where it's deployed, you know, and where the outputs are deployed. So I think taking a, you know, broader view of risk management will be really important in the the context of AI, particularly given. That the nature of AI is to, you know, process large swaths of information, really on a global scale, in order to make these analytics and creative development and content generation processes faster. So that just a quick aside of I actually think what we're going to see in the US is a lot of pulling from what we've seen that you and a lot more cooperation on that end. I agree that, you know, really starting to frame the risk governance process is looking at who are the key players that need to inform that risk measurement and tolerance analytics, that the decision making in terms of how do you evaluate, how do you inventory. Evaluate, and then determine how to proceed with AI tools. And so, you know, one of the things that I think makes it hopefully a little bit easier is to be able to leverage, you know, from a U.S. Perspective, leverage existing compliance procedures that we have, for example, for SEC compliance or privacy compliance or, you know, other ethics compliance programs. Brands and make AI governance a piece of that, as well as, you know, expand on it. Because I do think that AI governance sort of brings in all of those compliance pieces. We're looking at harms that may exist to a company, not just from personal information, not just from security. Not just from consumer unfair deceptive trade practices, not just from environmental, standpoints, but sort of the very holistic view of not to make this a bigger thing than it is, but kind of everything, right? Kind of every aspect that comes in. And you can see that in some of the questions that developers are supposed to be able to answer or deployers are supposed to be able to answer in risk management programs, like, for example, in Colorado, right, the information that you need to be able to address in a risk management program and an impact assessment really has to demonstrate an understanding of, of the AI system, how it works, how it was built, how it was trained, what data went into it. And then what are the full, what is the full range of harms? So for example, you know, the privacy harms, the environmental harms, the impact on employees, the impact on internal functions, the impact on consumers, if you're using it externally, and really be able to explain that, whether you have to put out a public statement or not, that will depend on the jurisdiction. But even internally, to be able to explain it to your C-suite and make them accountable for the tools that are being brought in, or make it explainable to a regulator if they were to come in and say, well, what did you do to assess this tool and mitigate known risks? So, you know, kind of with that in mind, I'm curious, what steps do you think need to go into a governance program? Like, what are one of the first initial steps? And I always feel that we can sort of start in so many different places, right, depending on how a company is structured, or what initial compliance pieces are. But I'm curious to know from you, like, Like, what would be one of the first steps in beginning the risk management program?  Cynthia: Well, as you said, Nikki, I mean, one of the best things to do is leverage existing governance structures. You know, if we look, for instance, into how the EU is even setting up its public authorities to look at governance, you've got, as I've mentioned, you know, kind of at the outset, you've almost got a multifaceted team approach. And I think it would be the same. I mean, the EU anticipates that there will be an AI officer, but obviously there's got to be team members around that person. There's going to be people with subject matter expertise in data, subject matter expertise in cyber. And then there will be people who have subject matter expertise in relation to the AI system itself, the data, training data that's been used, how it's been developed, how the algorithm works. Whether or not there can be human intervention. What happens if there are anomalies or hallucinations in the data? How can that be fixed? So I would have thought that ultimately part of that implementation is looking at governance structure and then starting from there. And then obviously, I mean, we've talked about some of the things that go into the governance. But, you know, we have clients who are looking first at use case and then going, okay, what are the risks in relation to that use case? How do we document it? How do we log it? How do we ensure that we can meet our transparency and accountability requirements? You know, what other due diligence and other risks are out there that, you know, blue sky thinking that we haven't necessarily thought about. Andy, any?  Andy: Yeah, that's, I would say, one of the first steps. I mean, even though not many organizations allocate now the core AI topic in the data protection department, but rather perhaps in the compliance or IT area, still from the governance process and starting up that structure, we see a lot of similarities to the data protection. Protection GDPR governance structure and so yeah I think back five years to implementation or getting ready for GDPR planning and checking what what other rules we we need to comply with who knew do we need to involve get the plan ready and then work along that plan that's that's the phase where we see many of our clients at the moment. Nikki, more thoughts from your end?  Monique: Yeah, I think those are excellent points. And what I have been talking to clients about is sort of first establishing the basis of measurement, right, that we're going to evaluate AI development on or procurement on. What are the company's internal principles and risk tolerances and defining those? And then based off of those principles and those metrics, putting together an impact assessment, which borrows a lot from what, you know, from what you both said, it borrows a lot from the concept of impact assessments under privacy compliance, right? Right, to implement the right questions and put together the right analytics in order to measure whether a AI tool that's in development is meeting up to those metrics, or something that we are procuring is meeting those metrics, and then analyzing the risks that are coming out of that. I think a lot of that, the impact assessment is going to be really important in helping make those initial determinations. But also, you know, and this is not just my feeling, this is something that is also required in the Colorado law is setting up an impact assessment, and then repeating it annually, which I think is particularly important in the context of AI, especially generative AI, because generative AI is a learning system. So it is going to continue to change, There may be additional modifications that are made in the course of use that is going to require reassessing, is the tool working the way it is intended to be working? You know, what has our monitoring of the tool shown? And, you know, what are the processes we need to put into place? In order to mitigate the tool, you know, going a little bit off path, AI drift, more or less, or, you know, if we start to identify issues within the AI, how do we what processes do we have internally to redirect the ship in the right process. So I think impact assessments are going to be a critical tool in helping form what is the rest of the risk management process that needs to be in place.  Andy: All right. Thank you very much. I think these were a couple of really good practical tips and especially first next steps for our listeners. We hope you enjoyed the session today and look forward if you have any feedback to us either here in the comment boxes or directly to us. And we hope to welcome you soon in one of our next episodes on AI, the law. Thank you very much.  Outro: Tech Law Talks is a Reed Smith production. Our producers are Ali McCardell and Shannon Ryan. For more information about Reed Smith's emerging technologies practice, please email techlawtalks@reedsmith.com. You can find our podcasts on Spotify, Apple Podcasts, Google Podcasts, reedsmith.com, and our social media accounts.  Disclaimer: This podcast is provided for educational purposes. It does not constitute legal advice and is not intended to establish an attorney-client relationship, nor is it intended to suggest or established standards of care applicable to particular lawyers in any given situation. Prior results do not guarantee a similar outcome. Any views, opinions, or comments made by any external guest speaker are not to be attributed to Reed Smith LLP or its individual lawyers.  All rights reserved. Transcript is auto-generated.

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In this episode, we talk to Daniel Leufer and Caterina Rodelli from Access Now, a global advocacy organization that focuses on the impact of the digital on human rights. As leaders in this field, they've been working hard to ensure that the European Union's AI Act doesn't undermine human rights or indeed fundamental democratic values. They share with us how the EU AI act was put together, the Act's particular downfalls, and where the opportunities are for us as citizens or as digital rights activists to get involved and make sure that it's upheld by companies across the world. Note: this episode was recorded back in February 2024. 

welcome to wall-e's tech briefing for monday, august 26th! dive into today's top tech stories: doj vs. realpage: the u.s. justice department sues property management software company realpage for alleged algorithmic collusion to raise rents, marking a significant case against such practices amid surging rent prices. halliburton cyberattack: energy giant halliburton shuts down internal systems following unauthorized access, while u.s. department of energy confirms no disruptions in energy services. meta & spotify criticize eu ai regulations: ceos of meta and spotify argue that existing eu ai rules hinder innovation and the use of public data for ai model training, leading meta to withhold its latest ai model from the european market. andrew ng steps down: ai luminary andrew ng announces his transition from ceo of landing ai to executive chairman, as dan maloney steps up as the new ceo and ng focuses on investments through his ai fund. apple's upcoming event: rumors suggest apple will unveil the iphone 16, apple watch series 10, new airpods, and macbook pro laptops with m4 chips at an event on september 10th, with potentially significant updates in ios 18.1. stay tuned for tomorrow's tech updates!

Is the EU AI Act about on product safety or fundamental rights? Join us in this enlightening episode of The FIT4Privacy Podcast wherein the host Punit Bhatia sits down with Caro Robson, a leading expert in AI regulations. Together, they explore the aspect of the AI Act being a safety-oriented framework than a just a rights protection safeguard. Caro also dives into the vital roles of international standards from bodies like OECD, UNESCO, ISO, and NIST, and discusses conformity assessment, compliance procedures, and the concept of regulatory sandboxes.  Uncover how these developments align with GDPR and what they mean for the future of AI systems, especially in high-risk applications. This conversation is a must for anyone keen on understanding the intricate balance between regulation and innovation in the AI landscape.  Tune in to Episode 119, Season 5, and subscribe to The FIT4Privacy Podcast for more insightful dialogues. If you find our content valuable, please leave a review and share it with others interested in the evolving world of AI regulation.    KEY CONVERSATION POINT  Introduction  How Caro Robson got into the privacy space  Understanding the need for EU AI Act  Why did the EU push for the EU AI Act  Will there be similarities in regulation?  How EU AI Act can help protect already set product standards  Will EU AI Act apply to products which aren't in the market yet?  Can companies categorize systems from high risk to low risk? Final message  ABOUT THE GUEST  Caro is a renowned expert and leader in digital regulation. She is a passionate advocate for ethical AI and data governance, with over 15 years' global experience across regions and sectors, designing and embedding practical solutions to these challenges.  Caro has worked with governments, international organisations and multinational businesses on data and technology regulation, including as strategy executive for a regulator and leader of a growing practice area for a prominent public policy consultancy in Brussels.  Caro was recently appointed UK Ambassador for the Global AI Association and is an expert observer to the UNECE Working Party on Regulatory Cooperation and Standardization Policies (WP.6), Group of Experts on Risk in Regulatory Systems.   Caro holds an Executive MBA with distinction from Oxford, an LLM with distinction in Computer & Communications Law from Queen Mary, University of London, and is a Fellow of Information Privacy with the International Association of Privacy Professionals. She has contributed to legal textbooks, publications, and research on privacy and data governance, including for the EU, ITU and IEEE.     ABOUT THE HOST  Punit Bhatia is one of the leading privacy experts who works independently and has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organization culture with high privacy awareness and compliance as a business priority. Selectively, Punit is open to mentor and coach privacy professionals.  Punit is the author of books “Be Ready for GDPR” which was rated as the best GDPR Book, “AI & Privacy – How to Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 30 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts.  As a person, Punit is an avid thinker and believes in thinking, believing, and acting in line with one's value to have joy in life. He has developed the philosophy named ‘ABC for joy of life' which passionately shares. Punit is based out of Belgium, the heart of Europe.     RESOURCES  Websites www.fit4privacy.com, www.punitbhatia.com Podcast https://www.fit4privacy.com/podcast Blog https://www.fit4privacy.com/blog YouTube http://youtube.com/fit4privacy 

The conversation revolved around the regulatory challenges surrounding AI adoption, particularly the recently passed EU AI regulation. Elena Gurevich emphasized the importance of transparency and responsibility in AI development and use, and discussed the challenges of regulating AI while promoting innovation. Punit Bhatia and Elena Gurevich explored the ethical implications of relying solely on AI tools to detect plagiarism or AI use in academic decision making, and the importance of critical thinking and ethical considerations in integrating AI in business. Watch and listen to this podcast highlighting the need for a risk-based framework and responsible innovation in the EU to ensure compliance with AI regulations and maintain customer trust, with Elena Gurevich and Punit Bhatia. KEY CONVERSATION POINT 02:05 - What fascinates Elena towards the IT, IP and Blockchain World? 04:33 - Evolution of AI especially in terms of regulation 08:10 - The EU AI Act 11:16 - EU AI Act regulation and its potential impact on companies 16:33 - AI generated contents copyright 22:20 - Risk and harms of AI 24:39 - How can these technologies help assist in creation of the transparency culture 26:59 - How Blockchain works for transparency 30:24 - Plagiarism caused by AI 36:20 - Elena's advice about using AI 41:15 - Contact Elena and Outro ABOUT THE GUEST Elena Gurevich is an Intellectual Property attorney with a background in both Blockchain and Artificial Intelligence. With a degree from Benjamin N. Cardozo school of Law, Elena Gurevich combines a strong legal background with a deep understanding of the technical aspects of Blockchain and AI. This allows her to provide expert counsel to clients on a wide range of legal issues related to these cutting-edge technologies. Elena is known for her ability to evaluate complex technology and provide practical, business-minded advice. Elena's expertise includes advising on copyrights and trademarks, with a focus on new emerging technologies such as Blockchain and AI. Elena Gurevich also has experience working on NFT licensing, and other commercial transactions involving cutting-edge technology, and has provided counsel to a wide range of clients, including start-ups and tech companies as well as individuals. Elena is a member of the New York State Bar Association, where she stays up-to-date on the latest developments in these rapidly-evolving fields. Elena's unique combination of technical knowledge and legal expertise makes her a valuable asset to any organization working with Blockchain and AI, and she is well-positioned to continue providing valuable counsel to clients in the future. ABOUT THE HOST Punit Bhatia is one of the leading privacy experts who works independently and has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organization culture with high privacy awareness and compliance as a business priority. Selectively, Punit is open to mentor and coach privacy professionals. Punit is the author of books “Be Ready for GDPR” which was rated as the best GDPR Book, “AI & Privacy – How to Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 30 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts. As a person, Punit is an avid thinker and believes in thinking, believing, and acting in line with one's value to have joy in life. He has developed the philosophy named ‘ABC for joy of life' which passionately shares. Punit is based out of Belgium, the heart of Europe. RESOURCES Websites: www.fit4privacy.com, www.punitbhatia.com Podcast: https://www.fit4privacy.com/podcast Blog: https://www.fit4privacy.com/blog YouTube: http://youtube.com/fit4privacy

Im Ö1 Mittagsjournal gesendet am 01.08.24

Sara Hooker is VP of Research at Cohere and leader of Cohere for AI. We discuss her recent paper critiquing the use of compute thresholds, measured in FLOPs (floating point operations), as an AI governance strategy. We explore why this approach, recently adopted in both US and EU AI policies, may be problematic and oversimplified. Sara explains the limitations of using raw computational power as a measure of AI capability or risk, and discusses the complex relationship between compute, data, and model architecture. Equally important, we go into Sara's work on "The AI Language Gap." This research highlights the challenges and inequalities in developing AI systems that work across multiple languages. Sara discusses how current AI models, predominantly trained on English and a handful of high-resource languages, fail to serve the linguistic diversity of our global population. We explore the technical, ethical, and societal implications of this gap, and discuss potential solutions for creating more inclusive and representative AI systems. We broadly discuss the relationship between language, culture, and AI capabilities, as well as the ethical considerations in AI development and deployment. YT Version: https://youtu.be/dBZp47999Ko TOC: [00:00:00] Intro [00:02:12] FLOPS paper [00:26:42] Hardware lottery [00:30:22] The Language gap [00:33:25] Safety [00:38:31] Emergent [00:41:23] Creativity [00:43:40] Long tail [00:44:26] LLMs and society [00:45:36] Model bias [00:48:51] Language and capabilities [00:52:27] Ethical frameworks and RLHF Sara Hooker https://www.sarahooker.me/ https://www.linkedin.com/in/sararosehooker/ https://scholar.google.com/citations?user=2xy6h3sAAAAJ&hl=en https://x.com/sarahookr Interviewer: Tim Scarfe Refs The AI Language gap https://cohere.com/research/papers/the-AI-language-gap.pdf On the Limitations of Compute Thresholds as a Governance Strategy. https://arxiv.org/pdf/2407.05694v1 The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm https://arxiv.org/pdf/2406.18682 Cohere Aya https://cohere.com/research/aya RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs https://arxiv.org/pdf/2407.02552 Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs https://arxiv.org/pdf/2402.14740 Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/ EU AI Act https://www.europarl.europa.eu/doceo/document/TA-9-2024-0138_EN.pdf The bitter lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html Neel Nanda interview https://www.youtube.com/watch?v=_Ygf0GnlwmY Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet https://transformer-circuits.pub/2024/scaling-monosemanticity/ Chollet's ARC challenge https://github.com/fchollet/ARC-AGI Ryan Greenblatt on ARC https://www.youtube.com/watch?v=z9j3wB1RRGA Disclaimer: This is the third video from our Cohere partnership. We were not told what to say in the interview, and didn't edit anything out from the interview.

■DAILY BRIEF BILINGUALはこちらからhttps://sbwl.to/dbb-smry7月18日、世界で今起きていること【ニュースソース】1.EUのリーダーの再選に、暗い雲https://x.gd/JFqClhttps://x.gd/aDZOF2.中国はAIを試しているhttps://x.gd/1wGHLhttps://x.gd/Vq4gO3.バンコクの高級ホテルで謎の死亡事件https://x.gd/nRTmphttps://x.gd/R11iw4.今年の話題のドラマが出揃ったhttps://x.gd/go3TXhttps://x.gd/cIIRZ5.イギリスではペットフードに培養肉が使えるようになるhttps://x.gd/Hqou3https://x.gd/Whpsb「SPINEAR」と「ナッシュ」がコラボ中！初回購入限定3000円オフのキャンペーン(2024年8月31日迄)を実施しています。詳しくは、以下のURLから！https://sbwl.to/spinear_nosh_ov

(0:00) Intro(1:20) About the podcast sponsor: The American College of Governance Counsel.(2:06) Start of interview.(2:37) Natasha's "origin story." (6:25) On the risks and opportunities for AI.(8:39) On the regulatory landscape of AI in the US. Reference to President Biden's Executive Order.(11:40) On California's regulation of AI (SB 1047).(15:24) On the international AI regulatory landscape, including the EU AI legislation.(20:35) On the state of startups and venture capital in Silicon Valley.(25:34) On the 'stay private or go public' debate.(28:50) On the increased antitrust scrutiny by the FTC and DOJ, particularly in tech industry.(30:08) On the increased national security scrutiny via CFIUS reviews. The new geopolitics of dealmaking.(35:46) On the increased politicization of the boardroom, including ESG and DEI.(38:32) On boardroom diversity and challenges to SB-826 and AB-979 (California), and Nasdaq's Diversity Rule.(42:20) Books that have greatly influenced her life: To Kill a Mockingbird, by Harper Lee (1960)The Handmaid's Tale, by Margaret Altwood (1985)Animal Farm, by George Orwell (1945)(42:57)  Her mentors.(43:49)  Quotes that she thinks of often or lives her life by: "Don't Self-Select."(51:17) An unusual habit or absurd thing that he loves.(44:17) The living person that she most admires. One of them is Michelle Obama.Natasha Allen is a partner at Foley & Lardner in Silicon Valley, serving as Co-Chair for Artificial Intelligence, Co-Chair of the Venture Capital Committee, and a member of the Venture Capital, M&A, and Transactions Practices. You can follow Evan on social media at:Twitter: @evanepsteinLinkedIn: https://www.linkedin.com/in/epsteinevan/ Substack: https://evanepstein.substack.com/__You can join as a Patron of the Boardroom Governance Podcast at:Patreon: patreon.com/BoardroomGovernancePod__Music/Soundtrack (found via Free Music Archive): Seeing The Future by Dexter Britain is licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License

Pre-IPO stock valuations = www.x.com/aarongdillon (see pinned post)Pre-IPO stock index fact sheet = www.agdillon.com/index00:07 | Mistral's new $6.2b valuation- French AI large language model company- Raised $645m at $6.2b valuation- General Catalyst led; Nvidia, Salesforce, IBM participated- Capital to be used to expand globally- Tech is compliant with new EU AI regulation00:48 | OpenAI $3.4b ARR- AI large language model provider, partnerships with Apple and Microsoft- $3.4b ARR as of May 2024, $2.0b ARR in Dec 2023, $1.0b in Jun 2023- Anthropic $100m ARR, Cohere $22m ARR- OpenAI has a 25x revenue multiple- $200m ARR from Microsoft partnership- New products; search engine, video generating models01:30 | OpenAI + Apple deal terms unveiled- OpenAI's ChatGPT to be integrated into iPhones, iPads, Macs- No Apple to OpenAI payment- Apple believes brand and product exposure to Apple's millions of customers is more valuable- Users will need an OpenAI subscription for some Apple interface use cases; both OpenAI and Apple will make incremental revenue- Apple deal is not exclusive; in talks with Google Gemini and Anthropic02:21 | OpenAI new CFO, CPO- Sarah Friar new CFO; Nextdoor holdings CEO, Square CFO, current Walmart board member- Kevin Weil new CPO; Instagram, Twitter, Planet Labs PBC- Focus on driving international revenue growth and enterprise customer revenue growth- $103.8b secondary market valuation, +21% vs its Apr 2024 round03:15 | Brex revenue +35% in 2023- Online banking company for businesses- Restructured leadership; co-CEO to Franseschi sole CEO, Dubugras as chairman- Raised over $1.5b in capital- 30,000 business customers; DoorDash, Roblox- 20% staff reduction in 2024- Reduced cash burn by 50%, extends runway 4 yrs- 2023 revenue +35%, gross profit +75%- $3.8b secondary market valuation, -69% vs its Jan 2022 round04:18 | Investment case for electricity?!- PG&E, California electric utility, reports 3.5 gigawatts of incremental electricity demand from 24 new data centers- Equal to output of 3 nuclear power plants- New data centers coming in next 5 yrs- Electricity demand to grow 2% to 4% annually through 2040- Electricity stands to be an incredible investment opportunity05:19 | Databrick's new chart/graph tool- Data management, analytics, and AI company- Launching AI/BI, a new visualization tool- Competes with Salesforce Tableau, Microsoft Power BI- AI/BI = uses AI to create charts/graphs via typed queries- AI/BI is free to Databricks users, vs Saleforce/Microsoft which have fees06:12 | Databricks revenue +60% vs 2023- $2.4b ARR forecast as of Jun 2024, +60% vs 2023- $1.6b in 2023 full year revenue, +50% vs 2022- 221 sales deals over $1.0m- Net revenue retention +140%- R&D is 33% of revenue over last 3yrs- 80% subscription gross margin over last 3yrs- $400m ARR from data warehouse product- $42.8b secondary market valuation, -1% vs its Nov 2023 round07:17 | Pre-IPO +2.56% for week, +71.53% for last 1yr- Up week: Chime +22.3%, CoreWeave +19.3%, Wiz +13.1%, Cohere +11.3%, Scale AI +8.8%- Down week: OpenAI -5.5%, Epic Games -4.0%, Deel -2.9%, Bytedance -2.1%, Notion -1.9%- Top valuations: ByteDance $292b, SpaceX $191b, OpenAI $104b, Stripe $76b, Databricks $43b07:54 | 2024 Pre-IPO Stock Vintage Index week performance- www.agdillon.com/index for fact sheet pdf- 2024 Vintage Index top contributors since inception: Rippling +106%, Revolut +52%, Epic Games +44%, Klarna +43%, Anduril +27%- Key metric averages for all Vintage Indexes 5 years old or older…3.31 distributed paid in capital2.05 residual value to paid in capital5.36 total value to paid in capit

Senior Research Fellows Dr. Eleanor Drage and Dr. Kerry McInerney share their insights on how artificial intelligence will impact society, using a feminist lens to rethink innovation and the importance of language in shaping our understanding of ‘good' technology. Dr Eleanor Drage is a Senior Research Fellow at the University of Cambridge Centre for the Future of Intelligence. She teaches AI Professionals about AI ethics at Cambridge and presents widely on the topic. She specialises in using feminist ideas to make AI better and safer for everyone. She is currently building the world's first free and open access tool that helps companies meet the EU AI act's obligations. Eleanor is also an expert on women writers of speculative and science fiction from 1666 to the present - An Experience of the Impossible: The Planetary Humanism of European Women's Science Fiction. Dr Kerry McInerney (née Mackereth) is a Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge, where she co-leads a project on how AI is impacting international relations. Aside from The Good Robot, Kerry is the co-editor of the collection Feminist AI: Critical Perspectives on Algorithms, Data, and Intelligent Machines (2023, Oxford University Press) and the co-author of the forthcoming book Reprogram: Why Big Tech is Broken and How Feminism Can Fix It (2026, Princeton University Press). This episode was recorded in front of a live audience for an event in partnership with SPACE4. ABOUT THE HOST Luke Robert Mason is a British-born futures theorist who is passionate about engaging the public with emerging scientific theories and technological developments. He hosts documentaries for Futurism, and has contributed to BBC Radio, BBC One, The Guardian, Discovery Channel, VICE Motherboard and Wired Magazine. CREDITS Producer & Host: Luke Robert Mason Join the conversation on Facebook, Instagram, and Twitter at @FUTURESPodcast Follow Luke Robert Mason on Twitter at @LukeRobertMason Subscribe & Support the Podcast at http://futurespodcast.net

In this episode of Good Morning Hospitality, Leo, Sarah, and Raphi discuss the latest industry news, trends, and thought-provoking discussions. We dive deep into the forthcoming Euro 2024 and its impacts on travel bookings and highlight Airbnb's decision to remove experiences from their platform. Raphi introduces us to HomeToGo's fresh AI innovations and how Google is revolutionizing search with AI, shifting the future of SEO. Join us for valuable insights into the evolving landscape of travel and hospitality. — Good Morning Hospitality is part of the Hospitality.FM podcast network and a Hospitality.FM Original. If you like this podcast, then you'll also love Behind The Stays with Zach Busekrus, which comes out every Tuesday & Friday, wherever you get your podcasts! This show is structured to cover industry news in travel and hospitality and is recorded live every Monday morning at 7 a.m. PST/10 a.m. EST. So make sure you tune in during our live show on our social media channels or YouTube and join the conversation live! Thank you to all of the Hospitality.FM Partners that help make this show possible, and if you have any press you want covered during the show, fill out this form! Learn more about your ad choices. Visit megaphone.fm/adchoices

In this podcast, we cover - 1. ⁠Role of serendipity in building meaningful careers 2.⁠ ⁠Ethical principles toward shaping more inclusive technologies 3.⁠ ⁠Feminist and anti-racist approach to AI Eleanor started her career in financial technology before co-founding an e-commerce company. Now a Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge, she maintains her strong interest in commercial concerns and opportunities in AI by working to bridge the gap between industry in academia in AI Ethics. She runs a team that is building the world's first free auditing online tool that allows companies to meet the EU AI act's obligations - which have been enriched with feminist and antiracist principles. She previously explored what AI ethics currently means to AI engineers at a major tech multinational the size of Meta. Her advisory work in the AI Ethics space also includes the UN Data Science & Ethics Group's 'Applied Ethics Toolkit'. On this site you can learn more about her past and present projects, media appearances, and publications. She has an international dual degree PhD from the University of Bologna and the University of Granada, where she was an Early Stage Researcher for the EU Horizon 2020 ETN-ITN-Marie Curie Project “GRACE” (Gender and Cultures of Equality in Europe). She has made two short films about science fiction utopias and dystopias, and co-created a feminist quotation-generating App called 'Quotidian'.  

Hosts: HutchOn ITSPmagazine  

Many Haitians are troubled by an international plan to impose a transitional government. European Union lawmakers have approved the world's first comprehensive regulations on artificial intelligence. And as we barrel toward a presidential election with two unpopular candidates, third-party bids are scrambling to get on the ballot.Want more comprehensive analysis of the most important news of the day, plus a little fun? Subscribe to the Up First newsletter.Today's episode of Up First was edited by Tara Neill, Dana Farrington, Nick Spicer, Jan Johnson and Ben Adler. It was produced by Ziad Buchh, Ben Abrams and Lindsay Totty. We get engineering support from Stacey Abbott, and our technical director is Zac Coleman.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Meta goes all in on AGI, Microsoft releases Copilot Pro, Runway's new multibrush tool, and more! Here's this week's AI news that matters. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode pageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:03:15 Meta shifts focus to AGI10:15 Microsoft releases Copilot Pro16:02 Google lags behind in AI product accessibility.19:45 Runway multitool brush24:25 Samsung's AI phones27:36 Samsung Galaxy S24: AI enhances photo search.32:10 Eleven Labs valued at over $1 BillionTopics Covered in This Episode:1. Generative AI Advancements and Applications2. Advancements in On-Device AI Computing3.  Evolution of the AI Software Market4. AGI Race and Societal Impact5. AI Governance and Privacy RegulationsKeywords:Qualcomm Snapdragon chip, generative AI capabilities, edge AI, on-device AI, first-person data, Samsung Galaxy S24, circle search, live translation, AI call assistants, Apple, environmental impact, 11 Labs, unicorn status, AI software market, Everyday AI, AI enthusiasts, LinkedIn thread, Mark Zuckerberg, artificial general intelligence, Meta, NVIDIA GPUs, AGI race, Microsoft Copilot Pro, DALL E, Microsoft 365, Google Docs, Wellsaid Labs, EU AI governance, generative AI tools, misinformation, disinformation, text-to-speech"

In this short Tuesday episode, Jay and Kristin Nagel discuss some of the interesting things going on this week, including a new EU AI law, their thoughts on the hit Netflix movie "Leave the World Behind", and more.Main Discussion Points:- The EU has reached a deal on a sweeping AI law called the AI Act (00:01:03). It will require companies to label AI-generated content and design systems so AI content can be detected (00:01:24). This could have major implications as EU laws often make their way to the US (00:01:49).- The current #1 Netflix movie in the US is "Leave the World Behind" starring Julia Roberts, Mahershala Ali, and Ethan Hawke (00:03:31). Jay did not like the movie but Kristin gave it an 8/10 (00:04:00). There seems to be two camps - people who liked it and people who think it absolutely sucked. (00:04:40).

Timestamps: 0:00 SEND HELP 0:09 Apple blocks Beeper Mini...temporarily 1:38 EU reaches deal on AI Act 2:53 Grok AI plagiarizes ChatGPT 4:08 Vessi 4:49 QUICK BITS INTRO 4:57 Apple plans to launch Vision Pro 5:32 MSI apologizes for coolers 6:13 Apple to incentivize spatial audio 6:53 Google's "Project Ellmann" 7:34 VR for mice News Sources: https://lmg.gg/7XdIX

Automation is a ket asset to speeding up your workflow and becoming more efficient. But adding AI to your automation can seem like a daunting task. Luckily Mark Savant, Founder of Mark Savant Media is joining us to discuss simple ways you can automate your media marketing with AI to grow your company or career. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Mark and Jordan questions about AI automationRelated Episode:  ChatGPT and Zapier: A Game-Changing DuoUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:[00:01:45] Daily AI news[00:04:40] About Mark and Mark Savant Media[00:07:30] Starting with AI automation[00:12:50] Balancing human interaction and AI[00:15:15] Automating media marketing[00:19:45] AI tools for media marketing[00:22:50] Audience questions[00:28:15] More ways to use AI automations[00:32:30] Mark's final takeawayTopics Covered in This Episode:1. Importance of leveraging AI for media marketing2. Impact of AI on human-to-human interactions3. Efficiency and cost-saving potential of AI4. Tools and Software for Media MarketingKeywords:AI automation, podcast industry, generative AI, workforce displacement, technological advancements, embracing technological change, mid-thirties to mid-forties, business efficiency, human-to-human interactions, marketing automation, digital media content, remote video calls, transcription, interpretation, remote work, hybrid teams, Cast Magic, Chat GPT, Zapier, Avoma, strategic selection, obsolescence prevention, software integration, competitive edge, EU AI bill, Mistral AI valuation, Spotify AI focus, small businesses, personalized messages, chatbots, sales calls Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

【主なニュース】▼自民 安倍派 10人以上の議員側が1000万円超のキックバックか ▼安保理 ガザ地区の停戦決議 アメリカ拒否権で否決 ▼EU AI利用などの規制法案 大筋合意 委員長“世界で初めて”

In this content-rich episode, we uncover the remarkable journey of Synthesia, a company that has raised an impressive $90 million for AI deep fakes technology. Dive into the financial potential of AI as we discuss its anticipated contribution of $4.4 trillion to the global GDP. We also explore the latest developments in EU AI legislation, shedding light on the evolving regulatory landscape for artificial intelligence. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

Paris Marx is joined by Edward Ongweso Jr. to discuss how the venture capital industry works, why the technologies it funds don't deliver on their marketing promises, and how that's once again being shown in the hype around AI. Edward Ongweso Jr. is a freelance journalist, co-host of This Machine Kills, and guest columnist at The Nation. You can follow Ed on Twitter at @bigblackjacobin.Tech Won't Save Us offers a critical perspective on tech, its worldview, and wider society with the goal of inspiring people to demand better tech and a better world. Follow the podcast (@techwontsaveus) and host Paris Marx (@parismarx) on Twitter, and support the show on Patreon.The podcast is produced by Eric Wickham and part of the Harbinger Media Network.Also mentioned in this episode:Edward wrote about the problems with venture capital and what the AI hype shows us about the industry for The Nation. Earlier this year, he wrote about the tantrum VCs threw after the Silicon Valley Bank collapse.Paris wrote about where Elon Musk's vision for the X superapp comes from, why his Twitter rebrand isn't going so well, and why ChatGPT isn't a revolution.In 2020, Sam Harnett wrote about the problem with tech media's coverage of the gig economy.Uber used to want to be the “Amazon for transportation” and the “operating system for everyday life.”TIME reported on how OpenAI lobbying watered down EU AI rules.Marc Andreessen wrote his pitch for “Why AI Will Save the World.”Support the show

Alex Lebrun is the Co-Founder and CEO of Nabla, an AI assistant for doctors. Prior to Nabla, he led engineering at Facebook AI Research. Alex founded Wit.ai, an AI platform that makes it easy to build apps that understand natural human language. Wit.ai was acquired by Facebook in 2015. Prior to Wit, Alex was the Founder and CEO of VirtuOz, the world pioneer in customer service chatbots, acquired by Nuance Communications in 2013. In Today's Episode with Alex Lebrun We Discuss: 1. Third Time Lucky and Lessons from Zuckerberg: How did Alex make his way into the world of startups with the founding of his first company? What worked with Alex's prior companies that he has taken with him to Nabla? What did not work that he has left behind? What were the single biggest takeaways for Alex from working with Mark Zuckerberg? How does Mark prepare for meetings? How does Mark negotiate so well? 2. Open vs Closed: Why does Alex believe the winning AI models will always be open? Why are open models not as transparent as people think they are? What are the biggest downsides to both open and closed models? Does Alex agree with Emad @ Stability that we will have "national data sets"? 3. Incumbent vs Startup: Who wins in the AI race; startups or incumbents? How important is access to proprietary data in winning in AI today? How does Alex respond to many VCs who suggest so many AI startups are merely "a thin layer on top of a foundational model"? Is that a fair critique? Which startups are best placed to challenge incumbents? Which incumbents have been most impressive in adopting AI into existing product suites? 4. Models 101: Size, Quality, Switching Costs: Why will the best companies switch the models that they use often? Will any models in action today be used in a year? How important is the size of the model? How will this change with time? In what way is new EU regulation around models going to harm European AI companies? 5. Location Matters: Who Wins: When looking at China, US and Europe, who is best placed to win the AI war? What are the biggest challenges Europe and China face? Why is the US best placed to win the AI race? What does it have to overcome first? If Alex were a politician, what would he do to ensure his country were best positioned?