Ep11 Anthropic Safety Recommendation: Robustness and Future Directions
Episode 1127 min

Ep11 Anthropic Safety Recommendation: Robustness and Future Directions

Chapters

Show Notes

The final episode on Anthropic's AI safety research agenda covers adversarial robustness, unlearning dangerous capabilities, multi-agent governance, and synthesizes key themes for building safe AI systems.

Topics Covered

  • Adversarial attacks beyond jailbreaks (corpus poisoning, website hijacking)
  • Realistic harm benchmarks and differential harm measurement
  • Adaptive defenses and rapid response
  • Unlearning dangerous information completely
  • Multi-agent governance using game theory
  • Key themes: measurement, defense in depth, scaling challenges

Original Paper

https://alignment.anthropic.com/2025/recommended-directions/


Hosted by Alex (PM at a fintech scale-up) and Thuy (AI researcher)

Ep11 Anthropic Safety Recommendation: Robustness and Future Directions | Artificial Peer Review