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New Tools are Needed for Tracking Adherence to AI Model Behavioral Use Clauses

Identification

Clé publique

radar:r-de9348fe5a4fcc6bbd21a12604ed7be8

Auteurs

Daniel McDuff · Tim Korjakow · Kevin Klyman · Danish Contractor

Année déclarée

2025

Langue déclarée

en

Type source

preprint

Première détection

2026-11-14T02:16:53.707393+00:00

Dernière observation des métadonnées

2026-11-14T02:16:53.707393+00:00

Dernière vérification HTTP

Non effectuée

Résumé documentaire — langue originale

Foundation models have had a transformative impact on AI. A combination of large investments in research and development, growing sources of digital data for training, and architectures that scale with data and compute has led to models with powerful capabilities. Releasing assets is fundamental to scientific advancement and commercial enterprise. However, concerns over negligent or malicious uses of AI have led to the design of mechanisms to limit the risks of the technology. The result has been a proliferation of licenses with behavioral-use clauses and acceptable-use-policies that are increasingly being adopted by commonly used families of models (Llama, Gemma, Deepseek) and a myriad of smaller projects. We created and deployed a custom AI licenses generator to facilitate license creation and have quantitatively and qualitatively analyzed over 300 customized licenses created with this tool. Alongside this we analyzed 1.7 million models licenses on the HuggingFace model hub. Our results show increasing adoption of these licenses, interest in tools that support their creation and a convergence on common clause configurations. In this paper we take the position that tools for tracking adoption of, and adherence to, these licenses is the natural next step and urgently needed in order to ensure they have the desired impact of ensuring responsible use.

Identifiants

OPENALEX

https://openalex.org/W4416048095

DOI

10.48550/arxiv.2505.22287

Repères documentaires

Famille documentaire

preprint

Types déclarés par les sources

preprint

Les mentions d’entités ne constituent pas une preuve de reconnaissance juridique. La juridiction étudiée est distincte du pays d’affiliation des auteurs.

Sources

OpenAlex · Document 1

• Document · http://arxiv.org/abs/2505.22287

Statut documentaire

Pertinence à examiner

Bibliothèque

Cette identité n’est pas encore intégrée à la Bibliothèque juridique.