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.

In the latest episode of the RegulatingAI Podcast at the World Summit AI on October 9, 2024, the discussion dives deep into the critical AI competencies driving organizational transformation. The episode explores how AI revolutionizes the workforce through augmentation, reskilling, and enhancing human-computer interaction, all while promoting ethical AI hiring practices.Special guest Dr. Kevin J. Jones, Director at the IU Columbus Center for Teaching and Learning and Associate Professor of Management, shares insights on how leaders can leverage AI to enhance their organizations and stay ahead of the curve.

On this episode, I’m joined by Ruslan Salakhutdinov, UPMC Professor of Computer Science at Carnegie Mellon University. Ruslan discusses the pressing need for AI regulation, its potential for societal transformation and the ethical considerations of its future development, including how to safeguard humanity while embracing innovation.Key Takeaways:(02:14) The need to regulate AI to prevent monopolization by large corporations.(06:03) The dangers of AI-driven misinformation and its impact on public opinion.(10:32) The risks AI poses in job displacement across multiple industries.(14:22) How deepfake technology is evolving and its potential consequences.(18:47) The challenge of balancing AI innovation with data privacy concerns.(22:10) AI’s growing role in military applications and the need for careful oversight.(26:05) How AI agents could autonomously interact and the risks involved.(31:30) The potential for AI to surpass human performance in certain professions.(37:14) Why international collaboration is critical for effective AI regulation.(42:56) The ethical dilemmas surrounding AI’s influence in healthcare and decision-making.Resources Mentioned:Ruslan Salakhutdinov - https://www.linkedin.com/in/russ-salakhutdinov-53a0b610/OpenAI’s Sora Technology - https://openai.com/index/sora/Geoffrey Hinton and his contributions to AI -https://www.linkedin.com/pulse/geoffrey-hinton-alan-francis/Carnegie Mellon University -https://www.cmu.eduThanks 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 engaging discussion, Senator Todd Young (R-Ind.), a key member of the Bipartisan Senate AI Working Group, delves into the complexities of AI policy and national security. He highlights the importance of bipartisan efforts in shaping regulations and adapting laws for AI. Young emphasizes a significant $32 billion public investment aimed at enhancing U.S. leadership in AI amid competition from China. The conversation also tackles the balance between open-source and closed-source AI, and the critical need for global standards in this rapidly evolving field.

AI and RNA are revolutionizing drug discovery, promising a future where life-saving medications are developed faster and at lower costs.In this episode, Raphael Townshend, PhD, Founder and CEO of Atomic AI, sits down with me to discuss the intersection of AI and RNA in drug development. We explore how AI technologies can reduce the cost and time required for clinical trials and target previously incurable diseases.Key Takeaways:(02:15) Raphael's background in AI and biology, and founding of Atomic AI.(05:59) Reducing time and failure rate in drug discovery with AI.(07:16) AlphaFold's breakthrough in understanding molecular shapes using AI.(09:23) Ensuring transparency and accountability in AI-driven drug discovery.(12:22) Navigating intellectual property concerns in healthcare AI.(15:34) Integrating AI with wet lab testing for accurate drug discovery results.(17:31) Balancing intellectual property and open research in biotech.(20:02) Addressing data privacy and security in AI algorithms.(22:30) Educating users and healthcare professionals about AI in drug discovery.(24:48) Collaborating with global regulators for AI-driven drug discovery innovations.Resources Mentioned:Raphael Townshend - https://www.linkedin.com/in/raphael-townshend-9154962a/Atomic AI | LinkedIn - https://www.linkedin.com/company/atomic-ai-rna/AlphaFold - https://deepmind.google/technologies/alphafold/Atomic AI Homepage - https://atomic.ai/ATOM-1 Large Language Model - https://www.biospace.com/atomic-ai-creates-first-large-language-model-using-chemical-mapping-data-to-optimize-rna-therapeutic-developmentThanks 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 a thought-provoking dialogue, Dr. Rashawn Ray, a celebrated expert at the intersection of policing and technology, discusses innovative strategies for addressing bias in AI. He emphasizes the critical role of virtual reality in police training to mitigate implicit bias. The conversation highlights the necessity of diverse teams in developing equitable AI, alongside the importance of community engagement in technology implementation. Dr. Ray also advocates for robust AI legislation to democratize technology and enhance fairness in our communities.

On this episode, I’m joined by Senator Mike Rounds, US Senator for South Dakota and Co-Chair of the Senate AI Caucus, to discuss how the US can regulate AI responsibly while fostering innovation. With his extensive experience in both state and federal government, Senator Rounds shares his insights into the Bipartisan Senate AI Working Group and its roadmap for AI policy.Key Takeaways:(01:23) The Bipartisan Senate AI Working Group aims to balance AI regulation and innovation.(05:07) Why intellectual property protections are essential in AI development.(07:27) National security implications of AI in weapons systems and defense.(09:19) The potential of AI to revolutionize healthcare through faster drug approvals.(10:55) How AI can aid in detecting and combating biological threats.(15:00) The importance of workforce training to mitigate AI-driven job displacement.(19:05) The role of community colleges in preparing the workforce for an AI-driven future.(24:00) Insights from international collaboration on AI regulation.Resources Mentioned:Senator Mike Rounds Homepage - https://www.rounds.senate.gov/GUIDE AI Initiative - https://www.rounds.senate.gov/newsroom/press-releases/rounds-introduces-artificial-intelligence-policy-packageMedshield - https://www.linkedin.com/company/medshield-llcThanks 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 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.