AI-Driven Cybersecurity and National Security Policy with Tony Samp of DLA Piper
June 12, 2024
In this episode of AI, Government, and the Future, host Max Romanik is joined by Tony Samp, Principal Policy Advisor and Head of AI Policy at DLA Piper, to discuss the evolving landscape of AI policy in the US and its implications for national security. He shares insights into the formation of the Senate AI Caucus, key legislative actions proposed, and intended outcomes related to AI innovation and governance. Tony also explores the transformative impact of AI on defense capabilities, ethical considerations surrounding lethal autonomous weapons, and critical steps for proper AI governance over the next decade.
Tony Samp, the principal policy advisor and head of AI Policy at DLA Piper, joins this episode to discuss the evolving landscape of AI policy in the US and its implications for national security. With over 18 years of experience in government affairs, Tony has been instrumental in shaping AI policy and safety standards through his work with the AI, the Senate AI Caucus, and the US AI Safety Institute Consortium.
The conversation delves into the formation of the Senate AI Caucus, exploring what led to its establishment and its role in raising awareness among policymakers. Tony outlines key legislative actions proposed in the Senate's AI roadmap, including the recommended $32 billion investment in non-defense AI innovation and infrastructure improvements at agencies like NIST.
Tony also explores the transformative impact of AI on America's defense capabilities, particularly in data processing and predictive maintenance. He touches upon the ethical considerations surrounding lethal autonomous weapons systems and the Pentagon's approach to responsible AI development.
Additionally, Tony discusses the potential of AI in sectors like healthcare and life sciences, highlighting the need for regulatory predictability and collaboration with industry stakeholders. He emphasizes the importance of workforce development initiatives, such as retraining programs and curriculum development, to prepare for the jobs of the future.
Throughout the conversation, Tony offers advice for government leaders and policymakers navigating the complexities of AI governance, stressing the importance of human oversight, ethical considerations, and striking a balance between innovation and responsible deployment.
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