Security and Privacy in AI Production - Panel Discussion

Explore the critical intersection of security, privacy, and AI in this 35-minute panel discussion from the AI in Production Conference. Delve into the evolving security landscape of machine learning, examining risks and vulnerabilities as we progress into an AI-driven future. Learn about the importance of education in managing AI risks and the crucial role of privacy engineering. Examine the legal and ethical implications of AI technologies, engaging in a vital dialogue on balancing utility and privacy. Gain insights from industry experts Diego Oppenheimer, Ads Dawson, Katharine Jarmul, and David Haber as they discuss topics including security versus privacy, privacy in machine learning, new paradigms, and the AI risk landscape. Enhance your understanding of the complex challenges and considerations surrounding AI implementation in production environments.

Intro
Introductions
Lira
Katherine
Security vs Privacy
Privacy in ML
Memory
New Paradigm
Privacy vs Utility
Bloopers
Security Questions
Security Landscape
Security Review
AI Risk