Regulating AI: Innovate Responsibly

On this episode, I’m joined by Trooper Sanders, CEO of Benefits Data Trust and a member of the White House National Artificial Intelligence Advisory Committee. Trooper’s expertise in leveraging AI to enhance the efficiency and humanity of America’s social safety net offers unique insights into the potential and challenges of AI in public services.Key Takeaways:(02:27) The role of Benefits Data Trust in connecting people to essential benefits using AI.(04:54) The components of trustworthy AI: reliability, public interest alignment, security, transparency, explainability, privacy and harm mitigation.(09:38) The ‘tortoise and hare’ challenge in aligning AI advancements with legislative processes.(16:17) The significance of voluntary industry commitments in shaping AI’s ethical use.(20:32) Ethical considerations in deploying AI, focusing on its societal impact and the readiness of systems for AI integration.(22:53) Addressing biases in AI to ensure fairness and equitable benefits across all socioeconomic groups.(27:52) Amplifying diverse voices in the AI discussion to encompass a wide range of societal perspectives.(34:22) The potential workforce disruption by AI and the necessity of supportive measures for affected individuals.(37:26) Considering the potentially massive impact of AI-driven career changes across various professions.Resources Mentioned:Trooper Sanders -https://www.linkedin.com/in/troopersanders/Benefits Data Trust | LinkedIn -https://www.linkedin.com/company/benefits-data-trust/Benefits Data Trust | Website -https://bdtrust.org/White House National Artificial Intelligence Advisory Committee -https://www.whitehouse.gov/ostp/ostps-teams/nstc/select-committee-on-artificial-intelligence/BDT Launches AI and Human Services Learning Hub -https://bdtrust.org/bdt-launches-ai-learning-lab/Our Vision for an Intelligent Human Services and Benefits Access System -https://bdtrust.org/our-vision-for-an-intelligent-human-services-and-benefits-access-systemHumans Must Control Human-Serving AI -https://bdtrust.org/media-coverage-humans-must-control-human-serving-ai/Trooper Sanders’ Bio -https://bdtrust.org/trooper-sanders/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

I'm thrilled to be joined by Dr. Paul Lushenko, a Lieutenant Colonel in the U.S. Army and Director of Special Operations at the U.S. Army War College. Dr. Lushenko brings a wealth of knowledge from the front line of AI implementation in military strategy. He joins me to share his insights into the delicate balance between innovation and regulation.Key Takeaways:(02:28) The necessity of addressing AI’s impact on warfare and crisis escalation.(06:37) The gaps in global governance regarding AI and autonomous weapon systems.(08:30) U.S. policies on the responsible use of AI in military operations.(16:29) The importance of cutting-edge research in informing legislative actions on AI.(18:49) The risk of biases in AI systems used in national security.(20:09) Discussion on automation bias and its consequences in military operations.(32:49) Emphasis on the importance of careful management and extensive testing to build trust in AI systems within the military.(39:51) The critical need for data-driven decision-making in high-stakes environments, advocating for leveraging expert insights.(24:44) Dr. Lushenko argues for the adoption of a strategic framework to guide AI development in military contexts.Resources Mentioned:Dr. Paul Lushenko -https://www.linkedin.com/in/paul-lushenko-phd-5b805113/U.S. Army War College -https://www.linkedin.com/school/united-states-army-war-college/Political Declaration on Responsible Use of AI in Military Technologies -https://www.state.gov/wp-content/uploads/2023/10/Latest-Version-Political-Declaration-on-Responsible-Military-Use-of-AI-and-Autonomy.pdfMemorandum on Ethical Use of AI - White House 2023 -https://www.whitehouse.gov/wp-content/uploads/2024/03/M-24-10-Advancing-Governance-Innovation-and-Risk-Management-for-Agency-Use-of-Artificial-Intelligence.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 welcome Randi Weingarten, President of the American Federation of Teachers (AFT). She discusses why implementing AI in education requires a collaborative effort. Join us as we explore the challenges and opportunities of AI in shaping equitable and effective educational environments.Key Takeaways:(01:08) Introduction of Randi Weingarten and her role in the AFT.(05:00) The critical issue of ensuring equitable access to AI technologies in education.(08:06) Addressing bias and discrimination within AI-driven educational systems.(11:53) The importance of inclusive participation in the implementation of educational technologies.(13:09) The evolving necessity for educators to acquire new skills in response to AI advancements.(17:26) The role of personalized teaching as a complement, not a replacement, for traditional educational methods.(18:08) Concerns surrounding data privacy and security within AI-driven platforms.(20:25) The need for regulation and oversight in the application of AI in educational settings.(25:22) The potential for productive industry collaboration in developing AI tools for education.(30:28) Advocating for a just transition fund to support workers displaced by AI and technological advancements.Resources Mentioned:Randi Weingarten - https://www.linkedin.com/in/randi-weingarten-05896224/American Federation of Teachers - https://www.aft.org/Testimony to Senator Schumer by Randi Weingarten on equity in AI - https://www.aft.org/press-release/afts-weingarten-calls-ai-guardrails-smart-regulation-ensure-new-technology-benefitsBiden’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/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

AI regulation is not a simple field, particularly in the realm of national security, and it requires a nuanced approach. In this episode, I welcome Anja Manuel, the Executive Director of the Aspen Strategy Group and the Aspen Security Forum, as well as Co-Founder and Partner at Rice, Hadley, Gates & Manuel, LLC. Anja’s insights make the path forward clearer, framing effective AI legislation and emphasizing the need for global cooperation and ethical considerations. Her perspective, deeply rooted in national security expertise, underscores the critical balance between innovation and safeguarding against misuse.Key Takeaways:(00:17) The functionality of intelligence committees across party lines.(00:59) AI in warfare reflects a shift from World War I tactics to modern tech battles.(03:10) The rapid innovation in military technology and the US’s efforts to adapt.(03:53) Risks of unregulated AI, including in cyber, autonomous weapons and bio-tech.(07:09) AI regulation is needed both globally and nationally.(11:21) International collaboration plays a vital role in AI regulation.(13:39) Ethical considerations unique to AI applications in national security.(14:31) National security agencies’ openness to regulatory frameworks.(15:35) Public-private collaboration in addressing national security considerations.(17:08) Establishing standards in AI technology for national security is necessary.(18:28) Regulation of autonomous weapons and international agreements.(19:32) Balancing secrecy in national security operations with public scrutiny of AI use.(20:17) AI’s role and risks in intelligence and privacy.(21:13) Regulating AI in cybersecurity and other areas is a challenge.Resources Mentioned:Anja Manuel - https://www.linkedin.com/in/anja-manuel-26805023/Aspen Strategy Group - https://www.aspeninstitute.org/programs/aspen-strategy-group/Aspen Security Forum - https://www.aspensecurityforum.org/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, I’m joined by Dr. Gunter Beitinger, Senior Vice President of Manufacturing and Head of Factory Digitalization and Product Carbon Footprint at Siemens. Dr. Beitinger lends a comprehensive view on AI’s role in transforming manufacturing, emphasizing its potential to enhance productivity, ensure workforce well-being and drive sustainable practices without displacing human labor.Key Takeaways:(02:17) Dr. Beitinger’s extensive background and role at Siemens.(05:13) Specific examples of AI-driven improvements in Siemens’ operations.(07:52) The measurable productivity gains attributed to AI in manufacturing.(10:02) The impact of AI on employment and the importance of re-skilling.(13:06) The necessity for a collaborative approach between governments and the private sector in workforce development.(16:24) The role of AI in improving the working conditions of industrial workers.(26:53) The potential for smaller companies to leverage AI and compete with industry giants.(36:49) AI’s future role in creating digital twins and the industrial metaverse.Resources Mentioned:Dr. Gunter Beitinger -https://www.linkedin.com/in/gunter-dr-beitinger/Siemens | LinkedIn -https://www.linkedin.com/showcase/siemens-industry-/?trk=public_post-textSiemens | Website -https://www.siemens.com/https://blog.siemens.com/space/artificial-intelligence-in-industry/https://blog.siemens.com/2023/07/the-need-to-rethink-production/https://www.siemens.com/global/en/products/automation/topic-areas/industrial-operations-x.html#GetyourfreeticketforHannoverMesse2023https://www.siemens.com/global/en/company/innovation/research-development/next-gen-industrial-ai.htmlThanks 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 Sarah Kreps, the John L Wetherell Professor in the Department of Government, Adjunct Professor of Law, and the Director of the Tech Policy Institute at Cornell Brooks School of Public Policy. Her expertise in international politics, technology and national security offers a valuable perspective on shaping AI legislation.Key Takeaways:(00:20) The significant impact of industry and NGOs on AI regulation and congressional awareness.(03:27) AI's multifaceted applications and its national security implications.(05:07) Advanced efficiency of AI in misinformation campaigns and the importance of legislative responses.(10:58) Proactive measures by AI firms like OpenAI for electoral fidelity and misinformation control.(14:23) The challenge of balancing AI innovation with security and economic considerations in legislation.(20:30) Concerns about potential AI monopolies and the economic consequences.(28:16) Ethical and practical aspects of AI assistance in legislative processes.(30:13) The critical need for human involvement in AI-augmented military decisions.(35:32) National security agencies' approach to AI regulatory frameworks.(39:13) The imperative of Congress's engagement with diverse sectors for comprehensive AI legislation.Resources Mentioned:Sarah Kreps - https://www.linkedin.com/in/sarah-kreps-51a3b7257/Cornell - https://www.linkedin.com/school/cornell-university/Sarah Kreps’ paper for the Brookings Institution - https://www.brookings.edu/articles/democratizing-harm-artificial-intelligence-in-the-hands-of-non-state-actors/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/Discussions on AI Global Governance - https://www.american.edu/sis/news/20230523-four-questions-on-ai-global-governance-following-the-g7-hiroshima-summit.cfmSarah Kreps - Cornell University - https://government.cornell.edu/sarah-krepsThanks 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 Ronald Arkin, a renowned expert in robotics and roboethics from the Georgia Institute of Technology. Our discussion focuses on AI and robotics. We explore the ethical implications and the necessity for regulatory frameworks that ensure responsible development and deployment.Key Takeaways:(02:40) Ethical guidelines for AI and robotics.(03:19) IEEE’s role in creating soft law guidelines.(06:56) Robotics’ overshadowing by large language models.(10:13) The necessity of oversight and compliance in AI development.(15:30) Ethical considerations for emotionally expressive robots.(23:41) Liability frameworks for ethical lapses in robotics.(27:43) The debate on open-sourcing robotics software.(29:52) The impact of robotics on workforce and employment.(33:37) Human rights implications in robotic deployment.(42:55) Final insights on cautious advancement in AI regulation.Resources Mentioned:Ronald Arkin - https://sites.cc.gatech.edu/aimosaic/faculty/arkin/Ronald Arkin | LinkedIn - https://www.linkedin.com/in/ronald-arkin-a3a9206/Georgia Tech Mobile Robot Lab - https://sites.cc.gatech.edu/ai/robot-lab/Georgia Institute of Technology - https://www.linkedin.com/school/georgia-institute-of-technology/IEEE Standards Association - https://standards.ieee.org/United Nations Convention on Certain Conventional Weapons - https://treaties.un.org/pages/ViewDetails.aspx?chapter=26&clang=_en&mtdsg_no=XXVI-2&src=TREATYThanks 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 Steve Mills, Global Chief AI Ethics Officer for Boston Consulting Group and Global AI Lead for the Public Sector. Steve shares insights into the intersection of AI innovation and ethical responsibility, guiding us through the often-confusing topic of AI regulation and ethics.Key Takeaways:(00:26) The role clear regulations play in fostering innovation.(02:43) The importance of consultation with industry to set achievable regulations.(04:07) Addressing the uncertainty surrounding AI regulation.(06:19) The necessity of sector-specific AI regulations.(07:33) The debate over establishing a separate AI regulatory body.(09:22) Adapting AI policy to keep pace with technological advancements.(11:40) Enhancing AI literacy and upskilling the workforce.(13:06) Ethical considerations in AI deployment, focusing on trustworthiness and harmlessness.(15:01) Strategies for ensuring AI systems are fair and equitable.(20:10) The discussion on open-source AI and combating monopolies.(22:00) The importance of transparency in AI usage by companies.Resources Mentioned:Steve Mills - https://www.linkedin.com/in/stevndmills/Boston Consulting Group - https://www.linkedin.com/company/boston-consulting-group/Responsible AI Ethics - https://www.bcg.com/capabilities/artificial-intelligence/responsible-aiStudy on the impact of AI in the workforce - https://www.bcg.com/publications/2022/a-responsible-ai-leader-does-more-than-just-avoiding-riskThanks 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 Kai Zenner, Head of Office and Digital Policy Advisor at the European Parliament. We discuss the complexities and challenges of Artificial Intelligence, especially focusing on the legislative efforts within the EU to regulate AI technologies.Key Takeaways:(01:36) Diverse perspectives in AI legislation play a significant role.(02:34) The EU AI Act’s status and its risk-based, innovation-friendly approach.(07:11) The recommendation for a vertical, industry-specific approach to AI legislation.(08:32) Measures in the AI Act to prevent AI power concentration and ensure transparency.(11:50) The global approach of the EU AI Act and its focus on international alignment.(14:28) Ethical considerations in AI development addressed by the AI Act.(16:21) Implementation and enforcement mechanisms of the EU AI Act.(23:31) The involvement of industry experts, researchers and civil society in developing the AI Act.(29:51) The importance of educating the public on AI issues.(33:12) Concerns about deepfake technology and election interference.Resources Mentioned:Kai Zenner - https://www.linkedin.com/in/kzenner/?originalSubdomain=beEuropean Parliament - https://www.linkedin.com/company/european-parliament/EU AI Act - https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-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

Discussing the global impact of the EU AI Act, necessity for risk-based AI assessments, ethical challenges within AI applications, strategies for inclusive AI benefiting marginalized communities, core ethical principles for AI systems, creating unbiased AI data sets, categories of unacceptable risks in AI, accountability in AI deployment, role of open-source models in AI development, and businesses seeking clear regulatory guidelines.