Regulating AI: Innovate Responsibly

On this episode of Regulating AI, I sit down with Professor Effy Vayena, Chair of Bioethics and Associate Vice President of Digital Transformation and Governance of the Swiss Federal Institute of Technology (ETH) and Co-Director of Stavros Niarchos Foundation Bioethics Academy. Together we delve deep into the world of AI, its ethical challenges, and how thoughtful regulation can ensure equitable benefits.Key Takeaways:(03:45) The importance of developing and using technology in ways that meet ethical standards.(10:31) The necessity of agile regulation and continuous dialogue with tech developers.(13:19) The concept of regulatory sandboxes for testing policies in a controlled environment. (17:07) Balancing AI innovation with patient privacy and data security.(24:14) Strategies to ensure AI benefits reach marginalized communities and promote health equity.(35:10) Considering the global impact of AI and the digital divide.(41:06) Including and educating the public in AI regulatory processes.(44:04) The importance of international collaboration in AI regulation.Resources Mentioned:Professor Effy Vayena - https://www.linkedin.com/in/effy-vayena-467b1353/Swiss Federal Institute of Technology (ETH) - https://www.linkedin.com/school/eth-zurich/ETH Zurich - https://ethz.ch/en.htmlEuropean Union’s AI Act - https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-aiU.S. FDA guidelines on AI in medical devices - https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-software-medical-deviceThanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#AIRegulation #AISafety #AIStandard

The integration of AI into healthcare is not only transforming the way we diagnose, treat and manage patient care but is also redefining the roles of doctors. Join me as I sit down with Dr. Brennan Spiegel to explore how AI is revolutionizing the medical field. Brennan is a Professor of Medicine and Public Health; George and Dorothy Gourrich Chair in Digital Health Ethics; Director of Health Services Research; Director, Graduate Program in Health Delivery Science; Cedars-Sinai Site Director, Clinical and Translational Science Institute; and Editor-in-Chief, Journal of Medical Extended Reality.Key Takeaways:(03:00) Balancing AI benefits with concerns about algorithmic bias and fairness.(05:47) Evaluating AI for implicit bias in mental health applications.(08:03) The need for standardized guidance and rigorous oversight in AI applications.(10:03) Ensuring data transmitted between AI providers and health systems is HIPAA compliant.(16:42) The evolving role of doctors in the context of AI integration.(21:22) The importance of traditional knowledge alongside AI in medical practice.(24:44) International collaboration and standardized approaches to AI in healthcare.Resources Mentioned:Dr. Brennan Spiegel - https://www.linkedin.com/in/brennan-spiegel-md-mshs-2938a4142/Cedars-Sinai - https://www.linkedin.com/company/cedars-sinai-medical-center/Brennan Spiegel on X - https://x.com/BrennanSpiegelThanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#AIRegulation #AISafety #AIStandard

In this episode, I welcome Carmel Shachar, Faculty Director of the Health Law and Policy Clinic and Assistant Clinical Professor of Law at Harvard Law School Center for Health Law and Policy Innovation. We delve into how AI is shaping the future of healthcare, its profound impacts and the vital importance of thoughtful regulation. The interplay between AI and healthcare is increasingly critical, pushing the boundaries of medicine while challenging our regulatory frameworks.Key Takeaways:(00:00) AI’s challenges in balancing patient data needs.(03:09) The revolutionary potential of AI in healthcare innovation.(04:30) How AI is driving precision and personalized medicine.(06:19) The urgent need for healthcare system evolution.(09:00) Potential negative impacts of poorly implemented AI.(12:00) The unique challenges posed by AI as a medical device.(15:10) Minimizing regulatory handoffs to enhance AI efficacy.(18:00) How AI can reduce healthcare disparities.(20:00) Ethical considerations and biases in AI deployment.(25:00) AI’s growing impact on healthcare operations and management.(30:00) Enhancing patient-physician communication with AI tools.(39:00) Future directions in AI and healthcare policy.Resources Mentioned:Carmel Shachar - https://www.linkedin.com/in/carmel-shachar-7b3a8525/Harvard Law School Center for Health Law and Policy Innovation - https://www.linkedin.com/company/harvardchlpi/Carmel Shachar's Faculty Profile at Harvard Law School - https://hls.harvard.edu/faculty/carmel-shachar/Precision Medicine, Artificial Intelligence and the Law Project - https://petrieflom.law.harvard.edu/research/precision-medicine-artificial-intelligence-and-lawPetrie-Flom Center Blog - https://blog.petrieflom.law.harvard.edu/Thanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#AIRegulation #AISafety #AIStandard

Ari Kaplan, Head Evangelist of Databricks, discusses AI regulation, industry perspectives, transparency, ethical concerns, automation impact on employment, generative AI risks, and importance of diverse viewpoints in shaping effective legislation.

In this episode, I welcome Nicolas Kourtellis, Co-Director of Telefónica Research and Head of Systems AI Lab at Telefónica Innovación Digital, a company of the Telefonica Group. Nicolas shares his expert insights on the pivotal role of AI in revolutionizing telecommunications, the challenges of AI regulation and the innovative strides Telefónica is making toward sustainable and ethical AI deployment. Imagine a world where every device you own not only connects seamlessly but also intelligently adapts to your needs. This isn’t just a vision for the future; it’s the reality AI is creating today in telecommunications.Key Takeaways:(00:00) AI research focuses and applications in telecommunications.(03:24) AI’s role in optimizing network systems and enhancing user privacy is critical.(06:00) How Telefónica uses AI to improve customer service through AI chatbots.(12:03) The ethical considerations and sustainability of AI models.(16:08) Democratizing AI to make it accessible and beneficial for all users.(18:09) Designing AI systems with privacy and security from the start.(27:00) The challenges and opportunities AI presents for the workforce.(30:25) The potential of 6G and its reliance on AI technologies.(32:16) The integral role of AI in future technological advancements and network optimizations.(39:35) The societal impacts of AI in telecommunications.Resources Mentioned:Nicolas Kourtellis - https://www.linkedin.com/in/nicolas-kourtellis-3a154511/Telefónica Innovación Digital - https://www.linkedin.com/company/telefonica-innovacion-digital/Telefonica Group - https://www.linkedin.com/company/telefonica/You can find all of Nicolas’ publications on his Google Scholar page: http://scholar.google.com/citations?user=Q5oWwiQAAAAJ Thanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#AIRegulation #AISafety #AIStandard

On this episode of the Regulating AI Podcast, I'm joined by Dr. Irina Mirkina, Innovation Manager and AI Lead at UNICEF's Office of Innovation. An AI strategist, speaker, and expert for the European Commission, Dr. Mirkina brings a wealth of experience from academia, the private sector, and now, the humanitarian sector. Today’s discussion focuses on AI for social good.Key Takeaways:(03:31) The role of international organizations like UNICEF in shaping global AI regulations.(07:06) Challenges of democratizing AI across different regions to overcome the digital divide.(10:28) The importance of developing AI systems that cater to local contexts.(13:23) The transformative potential and limitations of AI in personalized education.(16:37) Engaging vulnerable populations directly in AI policy discussions.(20:47) UNICEF's use of AI in addressing humanitarian challenges.(25:10) The role of civil society in AI regulation and policymaking.(33:50) AI's risks and limitations, including issues of open-source management and societal impact.(38:57) The critical need for international collaboration and standardization in AI regulations.Resources Mentioned:Dr. Irina Mirkina - https://www.linkedin.com/in/irinamirkina/UNICEF Office of Innovation - https://www.unicef.org/innovation/Policy Guidance on AI for Children by UNICEF - https://www.unicef.org/globalinsight/media/2356/file/UNICEF-Global-Insight-policy-guidance-AI-children-2.0-2021.pdfThanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#AIRegulation #AISafety #AIStandard

On this episode, I’m joined by Professor Angela Zhang, Associate Professor of Law at the University of Hong Kong and Director of the Philip K. H. Wong Center for Chinese Law. We delve into the complexities of AI regulation in China, exploring how the government’s strategies impact both the global market and internal policies.Key Takeaways:(02:14) The introduction of China’s approach to AI regulation.(06:40) Discussion on the volatile nature of Chinese regulatory processes.(10:26) How China’s AI strategy impacts international relations and global standards.(13:32) Angela explains the strategic use of law as an enabler in China’s AI development.(18:53) High-level talks between the US and China on AI risk have not led to substantive actions.(22:04) The US’s short-term gains from AI chip restrictions on China may lead to long-term disadvantages as China becomes self-sufficient and less cooperative.(24:13) Unintended consequences of the Chinese regulatory system.(29:19) Angela advocates for a slower development of AI technology to better assess and manage risks before they become unmanageable.Resources Mentioned:Professor Angela Zhang - http://www.angelazhang.netHigh Wire by Angela Zhang - https://global.oup.com/academic/product/high-wire-9780197682258Article: The Promise and Perils of China’s Regulation - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4708676Research: Generative AI and Copyright: A Dynamic Perspective - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4716233Research: The Promise and Perils of China's Regulation of Artificial Intelligence - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4708676Angela Zhang’s Website - https://www.angelazhang.net/High Wire Book Trailer - https://www.youtube.com/watch?v=u6OPSit6k6sPurchase High Wire by Angela Zhang - https://www.amazon.com/High-Wire-Regulates-Governs-Economy/dp/0197682251/ref=sr_1_1?crid=2A7D070KIAGT&keywords=high+wire+angela+zhang&qid=1706441967&sprefix=high+wire+angela+zha,aps,333&sr=8-1Thanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#AIRegulation #AISafety #AIStandard

On this episode, I am thrilled to sit down with Congressman Joseph Morelle, who represents New York's 25th Congressional District and serves on the House Appropriations Committee. As an influential voice in the dialogue on artificial intelligence, Congressman Morelle shares his deep insights into AI's potential and challenges, particularly concerning legislation and societal impacts.Key Takeaways:(02:13) Congressman Morelle's extensive experience in AI legislation and its implications.(04:27) Deep fakes and their growing threat to privacy and integrity.(07:13) Introducing federal legislation against non-consensual deep fakes.(14:00) Urgent need for social media platforms to enforce their guidelines rigorously.(19:46) The No AI Fraud Act and protecting individual likeness in AI use.(23:06) The importance of adaptable and 'living' statutes in technology regulation.(32:59) The critical role of continuous education and skill adaptation in the AI era.(37:47) Exploring the use of AI in Congress to ensure unbiased, culturally appropriate policymaking and data privacy.Resources Mentioned:Congressman Joseph Morelle - https://www.linkedin.com/in/joe-morelle-8246099/No AI Fraud Act - https://www.congress.gov/bill/118th-congress/house-bill/6943/text?s=1&r=9Preventing Deep Fakes of Intimate Images Act - https://www.congress.gov/bill/118th-congress/house-bill/3106Thanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#AIRegulation #AISafety #AIStandard

On this episode, I welcome Dr. Sethuraman Panchanathan, Director of the U.S. National Science Foundation and a professor at Arizona State University. Sethuraman shares personal insights on the transformative power of artificial intelligence and the importance of democratizing this technology to be sure it benefits humanity as a whole.Key Takeaways:(00:21) AI’s pivotal role in enhancing speech-language services.(01:28) Introduction to Sethuraman’s visionary leadership at NSF.(02:36) NSF’s significant AI investment totaled over $820 million.(06:19) The shift toward interdisciplinary AI research at NSF.(10:26) NSF’s initiative of launching 25 AI institutes for innovation.(18:26) Emphasis on AI democratization through education and training.(25:11) The NSF ExpandAI program boosts AI in minority-serving institutions.(30:21) Focus on ethical AI development to build public trust.(40:10) AI’s transformative applications in healthcare, agriculture and more.(42:45) The importance of ethical guardrails in AI’s development.(43:08) Advancing AI through international collaborations.(44:53) Lessons from a career in AI and advice for the next generation.(50:19) Motivating young researchers and entrepreneurs in AI.(52:24) Advocating for AI innovation and accessibility for everyone.Resources Mentioned:Dr. Sethuraman Panchanathan -https://www.linkedin.com/in/drpanch/U.S. National Science Foundation | LinkedIn -https://www.linkedin.com/company/national-science-foundation/U.S. National Science Foundation | Website -https://www.nsf.gov/Arizona State University -https://www.linkedin.com/school/arizona-state-university/ExpandAI Program -https://new.nsf.gov/funding/opportunities/expanding-ai-innovation-through-capacity-buildingDr. Sethuraman Panchanathan’s NSF Profile -https://www.nsf.gov/staff/staff_bio.jsp?lan=spanchanNSF Regional Innovation Engines -https://new.nsf.gov/funding/initiatives/regional-innovation-enginesNational AI Research Resource (NAIRR) -https://new.nsf.gov/focus-areas/artificial-intelligence/nairrNSF Focus on Artificial Intelligence -https://new.nsf.gov/focus-areas/artificial-intelligenceNSF AI Research Funding -https://new.nsf.gov/funding/opportunities/national-artificial-intelligence-researchGRANTED Initiative for Broadening Participation in STEM -https://new.nsf.gov/funding/initiatives/broadening-participation/grantedThanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#AIRegulation #AISafety #AIStandard

The rapid evolution of artificial intelligence in cybersecurity presents both significant opportunities and daunting challenges. On this episode, I'm joined by Bruce Schneier, who is renowned globally for his expertise in cybersecurity and is dubbed a “security guru” by the Economist. Bruce, a best-selling author and lecturer at Harvard Kennedy School, discusses the fast-paced world of AI and cybersecurity, exploring how these technologies intersect with national security and what that means for future regulations.Key Takeaways:(00:00) I discuss with Bruce the challenges of regulating AI in the US.(02:28) Bruce explains the role and future potential of AI in cybersecurity.(05:05) The benefits of AI in defense, enhancing capabilities at computer speeds.(07:22) The need for robust regulations akin to those in the EU.(12:56) Bruce draws analogies between AI regulation and pharmaceutical controls.(19:56) The critical role of knowledgeable staff in supporting legislators.(22:24) The challenges of effectively regulating AI.(26:15) The potential of AI to transform enforcement across various sectors.(30:58) Reflections on the future of AI governance and ethical considerations.Resources Mentioned:Bruce Schneier Website - https://www.schneier.com/EU AI Strategy - https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligenceThanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#AIRegulation #AISafety #AIStandard