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ACM FAccT · Event date June 25, 2026 - June 28, 2026

ACM FAccT 2026

event past event AI ComplianceModel EvaluationAI Red Teaming
Why it matters
June 25, 2026 - June 28, 2026
Event archive

ACM FAccT 2026 convened interdisciplinary research on responsible, safe, ethical, and trustworthy computing in Montréal. Its program covered AI audits and evaluation practice, red teaming and adversarial testing, assurance and deployment policy, regulation and governance, sociotechnical safety, threat models, transparency, and value alignment.

My takeaway: The archive is useful for testing whether a security evaluation measures the right harms and affected groups. Pair technical attack success with institutional accountability, deployment context, recourse, transparency, and distributional impact; distinguish empirical audits from normative or legal analysis.
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OpenAI News · framework

A blueprint for democratic governance of frontier AI

OpenAI proposes a three-part U.S. frontier-AI governance model: harmonize emerging state safety laws into a federal baseline, strengthen CAISI as an evaluation and standards institution, and coordinate a broader resilience program. Proposed controls include severe-risk evaluations, transparency reports, independent audits, safety-incident reporting, model-weight security, whistleblower protection, and periodic technical assessments.

OpenAI News · framework

OpenAI’s Frontier Governance Framework

OpenAI's 22-page Frontier Governance Framework maps its frontier-model processes to California's Transparency in Frontier AI Act and the EU AI Act's general-purpose AI code. It documents lifecycle risk assessment, cyber-offense and other risk tiers, mitigation and residual-risk decisions, critical-incident handling, security risk management, model reporting, external review, responsibility allocation, and change control.