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Causal Attribution for Agentic Decisions: Estimators, Coupling, and a Traceability Specification

A provider of a high-risk AI system must keep records that make a decision traceable, and for agentic systems it has not been established what those records must contain for post-hoc causal attribution to be possible. We give the estimator framework and then the conditions under which it fails. We separate the marginal total effect that prior work measures from a common-random-numbers total…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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AI can now control fusion plasma faster than humans can react

Princeton researchers have tested an AI system that can monitor and control fusion plasma in milliseconds, reacting far faster than a human operator.

  • PACMAN software uses AI to control fusion plasma faster than humans.
  • Developed by Princeton Plasma Physics Laboratory and Princeton University.
  • Predicted plasma behavior 200 milliseconds ahead in DIII-D experiments.

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