AI Standards Lab publishes research on AI safety engineering, AI governance, and standards development. This list includes both lab publications and papers co-authored by our team members.
-
Recommendations for the EU AI Act Digital Omnibus Trilogue
We have published a report analysing the Council and European Parliament positions going into the EU AI Act Omnibus trilogue. We make several recommendations for the parties engaged in the trilogue. Our main concern in making these recommendations is that, while it is positive if the Omnibus can remove some administrative burdens, it should not…
-
Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem
AI regulation assigns distinct obligations to providers of AI models and AI systems, but the lack of clear, consistent definitions for “AI model” and “AI system” creates ambiguity across the value chain. This paper surveys the definitions used in academic literature and regulatory documents, and proposes conceptual and operational definitions for drawing a principled boundary…
-
Recommendations on the European Parliament Amendments to the EU AI Act in the Digital Omnibus
We have published a report analysing some of the 750+ AI Act amendments that were proposed by the European Parliament in the context of the EU AI Act Omnibus. We provide a first analysis of these amendments, highlighting specific ones that we either welcome or oppose, based on our area of expertise.
-
A Scorecard for the Quality of AI Evaluations
We have published a working draft of a Quality Scorecard for AI Evaluations, a standards-based framework for assessing the reliability, validity, and rigour of AI evaluations. The scorecard provides structured scoring across five dimensions and a classification system to match evaluations to appropriate governance and deployment contexts.
-
Recommendations on the Digital Omnibus Amendments to the EU AI Act
We analysed the Commission’s Digital Omnibus proposals for the AI Act, highlighting concerns with Article 6(4) database deletion, Article 75(1) enforcement centralisation, and Article 4a data processing rules, whilst proposing targeted amendments to address critical regulatory gaps.
-
An Analysis of the GPAI model guidelines published by the European Commission
On July 18, 2025, The European Commission published its first Guidelines on the scope of obligations for providers of general-purpose AI models under the AI Act. In this post, we provide an analysis of these guidelines. As these obligations for providers go into force on 2 August 2025, we decided that a timely publication of…
-
Deprecating Benchmarks: Criteria and Framework
As AI models rapidly advance, many benchmarks become outdated or flawed yet continue to be used, inflating performance claims and obscuring safety concerns. This paper introduces criteria and a framework for deprecating inadequate benchmarks, with recommendations for developers, policymakers, and governance actors on how to maintain rigorous evaluation standards.
-
White paper: GPAI model providers and modifiers and their obligations under the AI Act
Authors: Ze Shen Chin and Koen Holtman This white paper describes what we think is a possible approach in classifying GPAI model providers and determining their obligations. We may expand on these ideas in the future. Editor’s update: The European Commission published its guidelines on the scope of obligations for providers of general-purpose AI models…