The Far-Reaching Risks of the Emerging Framework for AI Deployment With Jim Dempsey

Jim Dempsey is the Senior Policy Advisor to the Stanford Program on Geopolitics, Technology, and Governance. Additionally, he’s a lecturer at the UC Berkeley School of Law, where he teaches cybersecurity law in the LL.M. program. Before joining the UC Berkeley staff, he was the Executive Director of the Berkeley Center of Law & Technology.

Jim previously served as a part-time member of the US Privacy and Civil Liberties Oversight Board — an independent agency within the federal government charged with advising senior policymakers and overseeing the nation’s counterterrorism programs.

Jim is the author of Cybersecurity Law Fundamentals, a summation of cybersecurity law for practitioners in the field. His other publications include “Cybersecurity Information Sharing Governance Structures: An Ecosystem of Diversity, Trust, and Tradeoffs” and “The Path to ECPA Reform and the Implications of United States v. Jones.” He also pens articles on cybersecurity for Lawfare, a non-partisan, nonprofit publication dedicated to national security issues.

The Far-Reaching Risks of the Emerging Framework for AI Deployment With Jim Dempsey - YouTube
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Here’s a glimpse of what you’ll learn:

  • Jim Dempsey discusses how his career journey evolved to his current position
  • Jim explains the sudden phenomenon behind Open AI
  • What are the potential risks if AI isn’t regulated in the US?
  • How privacy and security evolve during the AI developmental and testing phase
  • Are developers incentivized when designing privacy and security?
  • What the public should know about risks involved during AI deployment
  • Jim shares privacy and security best practices
  • What does Jim do for fun?

In this episode…

With the emergence of innovative technologies, cybersecurity continues to be a topic of discussion. And as the constant evolution of AI further transforms our lives both personally and professionally, the products and services we rely on are at risk of becoming fundamentally insecure.

Jim Dempsey, a cybersecurity expert, explains that many users with ill intent are on a mission to steal our information and disrupt AI technology. A particular intentional attack to be wary of is prompt injection attacks disguised as programming instructions. This occurs when a hacker hijacks a language model’s output, allowing the hacker to get the model to say anything they want. There are, however, privacy and security best-practices companies can adopt as a means of prevention.

In this episode of the She Said Privacy, He Said Security Podcast, Jodi and Justin Daniels welcome Jim Dempsey, the Senior Policy Advisor to the Stanford Program on Geopolitics, Technology, and Governance, to discuss the risks of AI deployment. Jim explains why Open AI is suddenly a tech phenomenon, AI’s potential risks without US regulation, advice for privacy and security best practices, and more.

Resources Mentioned in this episode

Here are some risks and recommendations regarding AI technology:

  1. Recognize Risks: Treat the adoption of AI as a supply chain risk with a cost-benefit analysis.
  2. Corporate Policy: Have a clear policy regarding when AI tools can be used by employees.
  3. Transparency: Demand full transparency from AI developers regarding their training data and processes.
  4. Data Terms of Use: Pay attention to the terms of service regarding data handling and privacy.
  5. Data Flows: Assess data flows in a cloud-based environment to understand how AI interacts with your data.

Privacy and Security Tips

  • Conduct an inventory of data holdings and data flows.
  • Engage key personnel, such as the Chief Information Security Officer and Chief Privacy Officer, in technology vetting processes.

Conclusion

Jim Dempsey has highlighted the rapid developments in AI and the importance of privacy and security in this evolving landscape. To stay informed, connect with him on LinkedIn or visit his website.