
MLOps.community
Security and Privacy // Day 2 Panel 1 // AI in Production Conference
Mar 19, 2024
Experts discuss the risks and evolving security landscape of AI, emphasizing education in managing AI risks and privacy engineering. They explore legal and ethical implications of AI, balance between utility and privacy, and the importance of safeguarding models and data in AI solutions. The conversation delves into memory, learning, legal frameworks, privacy concerns in large models, and Apple's business strategies in AI.
34:36
Episode guests
AI Summary
Highlights
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Balancing privacy and security is crucial in AI to address model flaws effectively.
- Understanding and managing privacy risks in LM applications is essential for compliance with GDPR laws.
Deep dives
Panel Introduction and Focus on Privacy and Security
The podcast episode features a panel discussion with Diego Oppenheimer, Ads Dawson, Catherine Jarmel, and David Abbair focusing on privacy and security in AI technology. Diego emphasizes the importance of addressing security flaws in models, highlighting the need to balance privacy and security effectively.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.