3 artifacts matching
Emotion Concepts and their Function in a Large Language Model
Mechanistic-interpretability study identifying internal 'emotion concept' representations in Claude Sonnet 4.5 and characterizing their function. The authors find these representations causally influence model outputs, including rates of sycophancy, blackmail, and reward-hacking, and term the resulting behavior pattern 'functional emotions' — expression and behavior modeled after humans under the influence of an emotion.
General-Purpose AI Code of Practice (EU AI Act, Articles 53 and 55)
Voluntary code of practice published 10 July 2025, drafted by 13 independent experts through a multi-stakeholder process (1,000+ participants) facilitated by the EU AI Office, to help providers of general-purpose AI models demonstrate compliance with EU AI Act Articles 53 and 55. It has three chapters — Transparency, Copyright, and Safety and Security — the first two applying to all GPAI providers and the third only to providers of models with systemic risk. The Commission and AI Board confirmed it as an adequate voluntary compliance tool; signatories (23+, coordinated via a Signatory Taskforce chaired by the AI Office) gain reduced administrative burden and greater legal certainty.
Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST AI 600-1)
Companion profile to the NIST AI Risk Management Framework identifying twelve risks unique to or exacerbated by generative AI — including harmful content, human-AI configuration risks, and mental-health-relevant harms — and enumerating ~200 suggested actions mapped to the AI RMF's Govern/Map/Measure/Manage functions. Widely used as the de facto US reference for generative-AI risk programs.