Regulating AI: Innovate Responsibly

In this episode, I’m joined by Charity Rae Clark, Vermont Attorney General, and Monique Priestley, Vermont State Representative. They have been instrumental in shaping Vermont’s legislative approach to data privacy and AI. We dive into the challenges of regulating AI to keep citizens safe, the importance of data minimization and the broader implications for society.Key Takeaways:(02:10) “Free” apps and websites take payment with your data.(08:15) The Data Privacy Act includes stringent provisions to protect children online.(10:05) Protecting consumer privacy and reducing security risks.(15:29) Vermont’s legislative journey includes educating lawmakers.(18:45) Innovation and regulation must be balanced for future AI development.(23:50) Collaboration and education can overcome intense pressure from lobbyists.(30:02) AI’s potential to exacerbate discrimination demands regulation.(36:15) Deepfakes present a growing threat.(42:40) Consumer trust could be lost due to premature releases of AI products.(50:10) The necessity of a strong foundation in data privacy. Resources Mentioned:Charity Rae Clark -https://www.linkedin.com/in/charityrclark/Monique Priestley -https://www.linkedin.com/in/mepriestley/Vermont -https://www.linkedin.com/company/state-of-vermont/“The Age of Surveillance Capitalism” by Shoshana Zuboff -https://www.amazon.com/Age-Surveillance-Capitalism-Future-Frontier/dp/1610395697“Why Privacy Matters” by Neil Richards -https://www.amazon.com/Why-Privacy-Matters-Neil-Richards/dp/0190940553Thanks 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

Dive into the tangled web of AI and copyright law with Keith Kupferschmid, CEO of the Copyright Alliance, as he reveals how AI companies navigate legal responsibilities and examines what creators can do to safeguard their intellectual property in an AI-driven world.Key Takeaways:(02:00) The Copyright Alliance represents over 15,000 organizations and 2 million individual creators.(05:12) Two potential copyright infringement settings: during the ingestion process and the output stage.(06:00) There have been 17 or 18 AI copyright cases filed recently.(08:00) Fair Use in AI is not categorical and is decided on a case-by-case basis.(13:32) AI companies often shift liability to prompters, but both can be held liable under existing laws.(15:00) Creators should clearly state their licensing preferences on their works to protect themselves.(17:50) Current copyright laws are flexible enough to adapt to AI without needing new legislation.(20:00) Market-based solutions, such as licensing, are crucial for addressing AI copyright issues.(27:34) Education and public awareness are vital for understanding copyright issues related to AI.Resources Mentioned:Keith Kupferschmid - https://www.linkedin.com/in/keith-kupferschmid-723b19a/Copyright Alliance - https://copyrightalliance.orgU.S. Copyright Office - https://www.copyright.govGetty Images Licensing - https://www.gettyimages.comNational Association of Realtors - https://www.nar.realtorThanks 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

Maria Luciana Axente, a leader in public policy and ethics at PwC UK and a research associate at Jesus College Cambridge, dives into the essential intersection of AI technology and ethical values. She discusses the critical need for integrating ethical principles into AI, preserving humanity amidst rapid advancements, and ensuring fairness through participatory approaches. Axente emphasizes the importance of cultural values in shaping AI policies and the necessity of reflecting on AI's societal impacts before implementation to foster responsible innovation.

Can AI spark new creative revolutions? On this episode, I’m joined by Lianne Baron, Strategic Partner Manager for Creative Partnerships at Meta. Lianne unveils how AI is not just a tool but a transformative force in the creative landscape, emphasizing the irreplaceable value of human imagination. We explore the rapid pace of innovation, the challenges of embracing new tech, and the exciting future of idea generation and delivery.Key Takeaways:(03:50) Embrace AI's changes; it challenges traditional methods.(05:13) AI speeds up the journey from imagination to delivery.(07:15) The move to cinematic quality sparks excitement and fear.(08:30) Education is key in democratizing AI for all.(15:00) Risk of bias without diverse voices in AI development.(17:15) Ideas, not skills, are the new currency in AI.(26:16) Imagination and human experience are irreplaceable by AI.(29:11) AI can democratize storytelling, sharing diverse narratives.(33:00) AI breaks down barriers, fostering new creative opportunities.(36:20) Understanding authenticity is crucial in an AI-driven world.Resources Mentioned:Lianne Baron - https://www.linkedin.com/in/liannebaron/Meta - https://www.meta.com/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

Professor Zico Kolter discusses the challenges of regulating AI innovation, emphasizing the need to balance technological advancements with responsible usage. Topics include the rapid pace of AI development, preventing misuse, the impossibility of bias-free algorithms, the importance of human involvement in AI decisions, and the necessity for adaptable regulations. He also highlights the benefits of competitive environments in AI development and the critical role of human-in-the-loop AI for reliability.

On this episode, I’m joined by Professor Paul Rainey to discuss the evolutionary principles applicable to AI development and the potential risks of self-replicating AI systems. Paul is Director of the Department of Microbial Population Biology at the Max Planck Institute for Evolutionary Biology in Plön; Professor at ESPCI in Paris; Fellow of the Royal Society of New Zealand; a Member of EMBO & European Academy of Microbiology; and Honorary Professor at Christian Albrechts University in Kiel. Key Takeaways:(00:04) Evolutionary transitions form higher-level structures.(00:06) Eukaryotic cells parallel future AI-human interactions.(00:08) Major evolutionary transitions inform AI-human interactions.(00:11) Algorithms can evolve with variation, replication and heredity.(00:13) Natural selection drives complexity.(00:18) AI adapts to selective pressures unpredictably.(00:21) Humans risk losing autonomy to AI.(00:25) Societal engagement is needed before developing self-replicating AIs.(00:30) The challenge of controlling self-replicating systems.(00:33) Interdisciplinary collaboration is crucial for AI challenges.Resources Mentioned:Max Planck Institute for Evolutionary BiologyProfessor Paul Rainey - Max Planck InstituteMax Planck Research Magazine - Issue 3/2023Paul Rainey’s article in The Royal Society PublishingThanks 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’m joined by Jaap van Etten, CEO and Co-Founder of Datenna, the leading provider of techno-economic intelligence in China. Jaap’s unique background as a diplomat turned entrepreneur provides invaluable insights into the intersection of AI, innovation and policy.Key Takeaways:(01:30) Transitioning from diplomat to tech entrepreneur.(05:23) Key differences in AI approaches between China, Europe and the US.(07:20) The Chinese entrepreneurial mindset and its impact on innovation.(10:03) China’s strategy in AI and the importance of being a technological leader.(17:05) Challenges and misconceptions about China’s technological capabilities.(23:17) Recommendations for AI regulation and international cooperation.(30:19) Jaap’s perspective on the future of AI legislation.(35:12) The role of AI in policymaking and decision-making.(40:54) Policymakers need scenario planning and foresight exercises to keep up with rapid technological advancements.Resources:Jaap van Etten - https://www.linkedin.com/in/jaapvanetten/Datenna - https://www.linkedin.com/company/datenna/https://www.nytimes.com/2006/05/15/technology/15fraud.htmhttp://www.china.org.cn/english/scitech/168482.htm https://en.wikipedia.org/wiki/Hanxin https://www.linkedin.com/pulse/china-marching-forward-artificial-intelligence-jaap-van-etten/ https://github.com/Kkevsterrr/geneva https://geneva.cs.umd.edu https://www.grc.com/sn/sn-779.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 Dr. Abhinav Valada, Professor and Director of the Robot Learning Lab at the University of Freiburg, to explore the future of robotics and the essential regulations needed for their integration into society.Key Takeaways:(00:00) The potential economic impact of AI. (03:37) The distinction between perceived and actual AI capabilities. (04:24) Challenges in training robots with real-world data. (08:51) Limitations of current AI reasoning capabilities. (13:16) The importance of conveying robot intent for collaboration. (17:33) The need for specific guidelines for robotic systems. (21:00) Mandating AI ethics courses in Germany. (25:10) Collaborative robots and workforce implications. (30:00) Privacy issues in human-robot interaction.(35:02) The importance of pilot programs for autonomous vehicles. (39:00) International collaboration in AI legislation. (40:38) Inclusion of diverse voices in robotics research.Resources Mentioned:Dr. Abhinav Valada - https://www.linkedin.com/in/avalada/University of Freiburg - https://www.linkedin.com/company/university-of-freiburg/EU AI Act - https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligenceRobot Learning Lab, University of Freiburg - https://www.researchgate.net/lab/Robot-Learning-Lab-Abhinav-Valada 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

Striking a balance between artificial intelligence innovation and regulation is crucial for leveraging its benefits while safeguarding against risks. On this episode, I’m joined by Congressman Buddy Carter, U.S. Representative for Georgia's 1st District, to explore the complexities of AI regulation and its impact on healthcare and other sectors.Key Takeaways:(01:48) President Biden's Executive Order on AI aims to set new standards.(04:34) AI's potential in healthcare, including telehealth and drug development.(05:47) Legal implications for doctors not using available AI technologies.(07:55) AI could speed up the drug development process.(10:52) The need for constantly updated AI standards.(11:56) Debate on creating a separate regulatory body for AI.(14:03) Importance of including diverse voices in AI regulation.(16:57) Federal preemption of state and local AI laws to avoid regulatory patchwork.Resources Mentioned:Buddy Carter - https://www.linkedin.com/in/buddycarterga/President Biden's Executive Order on AI - 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/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligenceSection 230 of the Communications Decency Act - https://www.eff.org/issues/cda230Thanks 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 joined by Daniel Colson, Executive Director of the AI Policy Institute, to consider some pressing issues. Daniel shares his insights into the risks, opportunities and future directions of AI policy.Key Takeaways:(02:15) Daniel analyzes President Biden's recent executive order on AI.(04:13) Differentiating risks in AI technologies and their applications.(08:52) Concerns about the open-sourcing of AI models and abuse potential.(16:45) The importance of inclusive discussions in AI policymaking.(19:25) Challenges and risks of regulatory capture in the AI sector.(26:45) Balancing innovation with regulation.(33:14) The potential for AI to transform employment and the economy.(37:52) How AI's rapid evolution challenges our role as the dominant thinkers and prompts careful deliberation on its impact.Resources Mentioned:Daniel Colson - https://www.linkedin.com/in/danieljcolson/AI Policy Institute - https://www.linkedin.com/company/aipolicyinstitute/AI Policy Institute | Website - https://www.theaipi.org/#AIRegulation #AISafety #AIStandard