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The Intersection of Cybersecurity and Artificial Intelligence
Guests: Jon Garon and Candace Jones
This episode of the ABA-funded podcast, "Mind the Gap: Dialogs on Artificial Intelligence was recorded at a Continuing Legal Education session. Our subject is, "The Intersection of Cybersecurity and Artificial Intelligence."
Our two guests, Candace Jones and Jon Garon, are distinguished lawyers.
Candace Jones retired recently from the Federal Reserve Bank of New York. Previously she was a partner at a large law firm in Cleveland and is a former Chair of the ABA Section of Business Law's Cyberspace Law Committee. She is now a member of the ABA Cybersecurity Legal Task Force.
Jon Garon is Professor of Law, Nova Southeastern University Shepard Broad College of Law and is the current Chair of the ABA Section of Business Law's Cyberspace Law Committee.
Both Candace and Jon have written extensively on artificial intelligence and cybersecurity. Some of their writing are included in the materials for this program and will be linked in the podcast web page about this episode.
Recorded: 2024-09-10
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To Read Further
"Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence", 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/
Jon Garon (LinkedIn) https://www.linkedin.com/in/jongaron/
Candace Jones (LinkedIn) https://www.linkedin.com/in/candace-jones-83baa88/
US Department of the Treasury report: "Managing Artificial Intelligence-Specific Cybersecurity Risks in the Financial Services Sector", https://home.treasury.gov/system/files/136/Managing-Artificial-Intelligence-Specific-Cybersecurity-Risks-In-The-Financial-Services-Sector.pdf
"The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation" https://www.researchgate.net/publication/323302750_The_Malicious_Use_of_Artificial_Intelligence_Forecasting_Prevention_and_Mitigation
Jon Garon scholarly papers https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=378821
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