Newest papers

VERA: A Responsible AI Dashboard for Assessing LLM Deployments in Light of the EU AI Act

Robin Quériaux, Solveig Bachellery, Léa Déléris, Saurabhsingh Rajput, Mariam Barry, Tushar Sharma, Jérôme Lebecq · 2026 · arXiv

DOI: 10.48550/arXiv.2610.31588 · open-access PDF

Japanese

規制された環境で大規模な言語モデルを展開する機関は、展開を承認する前に責任あるAI実践の技術的証拠が必要であることが多い。COMPL-AIは、この証拠を6つの原則グループと18の技術的要件に基づいて組織するEU AI Actの技術的解釈を提供し、そのうちの12は現在のベンチマークが測定できる。この証拠を生成するベンチマークスイートは通常コマンドラインから運営され、展開を承認するスタッフは非エンジニアです。

Machine translation (Meta M2M100); the English original follows.

Abstract

Institutions that deploy large language models in regulated settings often need technical evidence of responsible AI practices before approving a deployment. COMPL-AI provides a technical interpretation of the EU AI Act that organises this evidence under six principle groups and eighteen technical requirements, twelve of which current benchmarks can measure. The benchmark suites that produce this evidence are typically operated from a command line, while the staff who approve deployments are non-engineers. We present VERA, an open-source self-hosted dashboard deployed to facilitate responsible

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