This page shares updates on AI Standards Lab’s activities, including announcements, endorsements, and collaborations that don’t fit neatly into our list of public outputs.
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AI Standards Lab Presents Three Papers at the Technical AI Safety Conference
AI Standards Lab presented three papers at the Technical AI Safety Conference in Oxford, covering AI incident reporting, EU AI Act classification for biological foundation models, and standardising RCTs in AI evaluation. Read the papers and view the posters below.
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AI Standards Lab presents three papers at ICML 2026
Ze Shen Chin and Rokas Gipiškis represented AI Standards Lab at ICML 2026 in Seoul, presenting three papers at the Second Workshop on Technical AI Governance Research, covering AI incident governance, model/system definitions, and evaluation RCTs.
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AI Standards Lab co-signed an open letter encouraging the European Commission to make full use of its AI Act enforcement powers
On 2 August 2026, the European Commission’s AI Act enforcement powers with respect to GPAI model providers, including makers of frontier AI models, entered into force. We co-signed an open letter that examines the current risk and compliance landscape, and that urges the Commission to make full use of its new powers.
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AI Standards Lab have endorsed the recommendations coming out of the Evals-Consensus project
AI Standards Lab experts have contributed to the Evals-Consensus project to identify best practices for AI evaluations. We endorse the resulting expert consensus: “Based on the consensus of stakeholders and experts, we recommend evaluation practitioners consider and adopt at least these 27 practices where relevant for constructing, documenting, maintaining, using, and reporting the results of…
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AI Standards Lab presented a poster at the AI and Societal Robustness Conference
Rokas Gipiškis (AI Standards Lab) and Rebecca Scholefield presented the poster “AI Incident Reporting: Pipeline and Principles” at the AI and Societal Robustness Conference in Cambridge, organised by the UK AI Forum. The work examines post-deployment AI incidents through an end-to-end pipeline spanning definitions and taxonomies, monitoring, reporting, and downstream analysis (including multi-causal approaches and…
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AI Standards Lab has joined the International Association for Safe and Ethical AI (IASEAI) Affiliate Network
We are pleased to announce that AI Standards Lab has officially joined the International Association for Safe and Ethical AI (IASEAI) affiliate network. IASEAI is an independent non-profit organisation founded in 2024 to address the risks and opportunities associated with rapid advances in artificial intelligence. The organisation brings together leading researchers, policymakers, and civil society…
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AI Standards Lab presented at IASEAI and AI Safety Connect
AI Standards Lab presented a comprehensive catalogue of risk sources and risk management measures for general-purpose AI systems at IASEAI and AI Safety Connect in Paris. The research, released under public domain licence, supports implementation of the EU AI Act and provides resources for AI providers, standards bodies, researchers, policymakers, and regulators.
