David Danks, Professor of Data Science and Philosophy at the University of California, San Diego, joins this episode of AI, Government, and the Future by Alan Pentz to delve into the intricacies of AI regulation. From the challenges faced by the federal government to the potential impact on innovation, they explore the need for smarter governance and a nuanced approach to balancing risks and benefits. David also shares his perspective on AI ethics, ethical interoperability, and the shortage of AI talent.

David holds an honorable position as an affiliate faculty member in UCSD's Department of Computer Science & Engineering and is the proud owner of Danks Consulting. His significant contributions to the field have earned him seats on several prestigious advisory boards, including the National AI Advisory Committee (NAIAC), the Special Competitive Studies Project (SCSP), and the Partnership to Advance Responsible Technology (PART), among others.

His awards include the James S. McDonnell Foundation Scholar Award (2008) and the esteemed Andrew Carnegie Fellowship (2017). Beyond his outstanding academic achievements, Professor Danks is an accomplished author. His notable works include "Unifying the Mind: Cognitive Representations as Graphical Models" and "Building Theories: Heuristics and Hypotheses in Sciences" (featured in Studies in Applied Philosophy, Epistemology, and Rational Ethics, Vol. 41). Furthermore, he has written a thought-provoking thesis titled "Finding Trust and Understanding in Autonomous Technologies."

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