The Data Exchange with Ben Lorica
From Preparation to Recovery: Mastering AI Incident Response
Jul 18, 2024
Andrew Burt, co-founder of Luminos.Law and Luminos.ai, discusses AI incident response challenges and preparation. Topics include defining incidents in AI systems, specialized response teams, regulations like SB 1047, contrasting US and European approaches to AI regulation, and the importance of detecting and stopping AI failures.
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Quick takeaways
- Incident response for AI systems requires a unique approach due to unpredictable behaviors, necessitating structured incident response plans.
- Generative AI systems pose challenges with unexpected behaviors, requiring better monitoring tools and specific incident detection approaches.
Deep dives
Understanding Incident Response for AI Systems
Incident response for AI systems is crucial as incidents are inevitable due to the unpredictability of AI behavior. Companies often lack mature practices for identifying and responding to AI incidents. Preparation involves defining what constitutes an incident, such as unintended system behavior causing harm. Companies must assess incidents based on unintended harms to users or the organization, not just malicious actions.
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