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Author

A. Sadovnik

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#artificial intelligence Preprint Sep 2026

Beyond Aggregate Scores: Behavioral Correctness Assumptions for Assessing Reference-Based Automatic Evaluation Methods

It is demonstrated that behavioral correctness assumptions provide diagnostic information obscured by conventional aggregate meta-evaluation, and no evaluator satisfies all proposed correctness assumptions, and evaluators with similar aggregate performance can exhibit substantially different behavioral profiles.

Maria Mahbub, Ashley Rice, Michael R. Munroe et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Reducing Catastrophic Risk from AI with Systematic Monitoring and Evaluation of Rogue AI Progression

A structured framework of behavioral indicators that may signal progression toward potentially catastrophic threats from artificial intelligence systems is presented, inspired by established methodologies in cybersecurity and national security.

T. Bauer, W. Kegelmeyer, Edmon Begoli et al. · 0 citations

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