AI Safety, Security, and Policy
This page tracks AI policy, constitutions, critical-system certainty, introspection, cyber misuse, and robotics/security concerns.
Sources in this batch
- Anthropic statements cover Department of War discussions, a new Claude constitution, AI-orchestrated cyber espionage disruption, and introspection research.
- Logical Intelligence frames AI certainty for critical systems.
- Google DeepMind’s UK government partnership is a policy/sovereignty source.
- A Unitree humanoid security article raises embodied-system data/security concerns.
- Goodfire and Anthropic introspection sources connect interpretability to safety workflows.
Research interest
The interesting shift is from abstract alignment to operational safety: constitutions, introspection, cyber-defense incidents, critical-system guarantees, and embodied data exfiltration. For a CS researcher, the hardest problem is converting interpretability and policy desiderata into engineering constraints that survive deployment.
Open questions:
- Can model introspection be validated, or does it risk becoming another unreliable self-report channel?
- What safety guarantees are possible for agents operating tools and code execution?
- How should embodied AI security be modeled when sensors, actuators, and cloud telemetry interact?