RegulatingAI Podcast: Innovate Responsibly

In this Episode, Tunisia’s Former Prime Minister, Mehdi Jomaa, shares his vision for the country’s potential to emerge as a leading technology hub in the Arab world and the Global South. With its strategic location bridging Africa, Europe, and the Middle East, Tunisia is positioned to become a key player in the global technological revolution, particularly in artificial intelligence.Resources:https://www.linkedin.com/in/mehdi-jomaa-60a8333b/https://x.com/Mehdi_Jomaahttps://www.facebook.com/M.mehdi.jomaaIn this Episode, Tunisia’s Former Prime Minister, Mehdi Jomaa, shares his vision for the country’s potential to emerge as a leading technology hub in the Arab world and the Global South. With its strategic location bridging Africa, Europe, and the Middle East, Tunisia is positioned to become a key player in the global technological revolution, particularly in artificial intelligence.Resources:https://www.linkedin.com/in/mehdi-jomaa-60a8333b/https://x.com/Mehdi_Jomaahttps://www.facebook.com/M.mehdi.jomaahttps://clubmadrid.org/who/members/mehdi-jomaa/

The rapid rise of AI brings both extraordinary potential and profound risks, demanding urgent global collaboration to ensure its safe development. In this episode, I’m joined by Professor S. Alex Yang, Professor of Management Science and Operations at the London Business School, to explore the complexities of regulating AI, the challenges of international collaboration, and the potential existential risks posed by AI development. With his extensive experience in AI and risk management, Professor Yang provides unique insights into the future of AI governance.Key Takeaways:(02:12) Professor Yang’s early AI experiences and his value chain research.(06:57) The biggest risks from AI, including existential risk and job displacement.(11:42) The debate on AI nationalism and the preservation of cultural heritage.(16:28) How China’s chip-making capacity could reshape AI competition.(21:13) Open-source versus closed-source AI models and the risks involved.(25:58) Why monitoring monopolies in AI is crucial for innovation.(30:44) How content creators can benefit from AI and how copyright law is evolving.(35:29) The importance of fair use standards for AI-generated content.(40:14) Data aggregation and its future role in AI development.(45:00) Professor Yang’s final thoughts on the need for agile, principle-based AI regulation.Resources Mentioned:Professor S. Alex Yang -https://www.linkedin.com/in/songayang/London Business School | LinkedIn -https://www.linkedin.com/school/london-business-school/London Business School | Website -https://www.london.edu/?utm_source=google&utm_medium=ppc&utm_campaign=MC_BRBRAND_ppc_google&sc_camp=760e17bef14a4b399386ef32e55393a8&gad_source=1&gclid=Cj0KCQjwo8S3BhDeARIsAFRmkON1oXbsOVjQ73dCIwrvngSGSF0PBYwWGVKRtCdil8ptF2vmAzcW7lEaAvCxEALw_wcB&gclsrc=aw.dsWorldCoin - https://worldcoin.org/The Case for Regulating Generative AI Through Common Law -https://www.project-syndicate.org/commentary/european-union-ai-act-could-impede-innovation-by-s-alex-yang-and-angela-huyue-zhang-2024-02Generative AI and Copyright: A Dynamic Perspective -https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4716233Thanks 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

AI presents endless opportunities, but its implications for privacy and governance are multifaceted. On this episode, I’m joined by Professor Norman Sadeh, a Computer Science Professor at Carnegie Mellon University, and Co-Founder and Co-Director of the Privacy Engineering Program. With years of experience in AI and privacy, he offers valuable insights into the complexities of AI governance, the evolving landscape of data privacy and why a multidisciplinary approach is vital for creating effective and ethical AI policies.Key Takeaways:(02:09) How Professor Sadeh’s work in AI and privacy began.(05:30) Privacy engineers are in AI governance.(08:45) Why AI governance must integrate with existing company structures.(12:10) The challenges of data ownership and consent in AI applications.(15:20) Privacy implications of foundational models in AI.(18:30) The limitations of current regulations like GDPR in addressing AI concerns.(22:00) How user expectations shape the principles of AI governance.(26:15) The growing debate around the need for specialized AI regulations.(30:40) The role of transparency in AI governance for building trust.(35:50) The potential impact of open-source AI models on security and privacy.Resources Mentioned:Professor Norman Sadeh -https://www.linkedin.com/in/normansadeh/Carnegie Mellon University | LinkedIn -https://www.linkedin.com/school/carnegie-mellon-university/Carnegie Mellon University | Website -https://www.cmu.edu/EU AI Act - https://artificialintelligenceact.eu/General Data Protection Regulation (GDPR) -https://gdpr-info.eu/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

In this inspiring episode, we explore how AI is not only transforming industries but also reshaping education and the future of work. Learn how diversity, AI skills, and youth empowerment are critical in building an ethical, AI-driven world.Our guest, Elena Sinel, FRSA and Founder of Teens in AI, shares her mission to champion diversity and equip young people with the skills they need to thrive in the AI era. She discusses the importance of empowering youth to lead the way in creating ethical AI solutions for a better future.

In this thought-provoking episode, we explore the crucial role governments play in democratizing AI, ensuring its benefits reach all sectors of society. We discuss the ethical and governance challenges involved in shaping AI policy, as well as the philosophical underpinnings that drive this evolving landscape.Our distinguished guest, Ted Lechterman, Holder of the UNESCO Chair in AI Ethics & Governance at IE University, provides critical perspectives on how governments can lead the way in creating inclusive, ethical AI policies that align with democratic values.

In this episode, we dive into the complexities of AI compliance and the challenges organizations face in navigating the evolving regulatory landscape, especially with the European AI Act. Learn how businesses can stay compliant while driving innovation in AI development.Our guest, Sean Musch, Founder and CEO of AI & Partners, shares his expertise on the European AI Act and other regulatory frameworks shaping the future of AI. Discover practical strategies for navigating compliance while fostering responsible AI practices.

In this episode, we explore how geospatial data is being leveraged to improve crisis response efforts through the integration of AI. Learn about the groundbreaking work of the Humanitarian OpenStreetMap Team in mapping vulnerable areas and using AI to support humanitarian missions in real-time.Our guest, Paul Uithol, Director of Humanitarian Data at the Humanitarian OpenStreetMap Team, shares his insights into how geospatial data and AI are transforming disaster management and crisis response. Discover the innovative strategies that enable faster, more accurate responses to humanitarian challenges.

In this episode, we explore the complexities of global AI regulation and enforcement, focusing on how governments and organizations can balance the need for compliance while fostering innovation. We dive into the challenges of supervising AI across different legislative frameworks and how these regulations shape the future of AI technologies.Our featured guest, Huub Janssen, Manager on AI at the Ministry of Economic Affairs and the Dutch Authority for Digital Infrastructure, The Netherlands, shares his insights on navigating the regulatory landscape and driving responsible AI development.

In this insightful episode, we explore the intersection of AI governance and legal innovation. Join us as we discuss the critical challenges and opportunities that arise as organizations strive to implement responsible AI practices in an ever-evolving regulatory landscape.Our esteemed guest, Hadassah Drukarch, Director of Policy and Delivery at the Responsible AI Institute, shares her expertise on how to navigate the complexities of AI governance, legal frameworks, and the importance of fostering ethical AI practices.

In this compelling episode, we explore how artificial intelligence is transforming disaster response efforts, especially for vulnerable communities impacted by crises. Join us as we discuss innovative strategies that leverage AI to enhance humanitarian action and build more resilient systems.Our special guest, Katya Klinova, Head of AI and Data Insights for Social and Humanitarian Action at the United Nations Secretary-General's Innovation Lab, shares invaluable insights into the role of AI in disaster management and its potential to bridge critical gaps in support for those most in need.