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ACM FAccT · Event date June 21, 2027 - June 24, 2027

ACM FAccT 2027

event upcoming AI Red TeamingModel EvaluationAI Compliance
Why it matters
June 21, 2027 - June 24, 2027
Scheduled event

ACM FAccT 2027 convenes interdisciplinary research on responsible, safe, ethical, and trustworthy computing. Its official scope includes AI red teaming and adversarial testing, assurance and deployment policy, audits, model and system evaluation, governance, sociotechnical safety, and threat models and mitigations.

My takeaway: Use FAccT to test whether technical red-team findings connect to affected people, deployment context, accountable owners, and measurable assurance evidence. Keep normative arguments distinct from empirical results, and prioritize work with explicit methods, limitations, and artifacts.
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More curated notes connected through AI Red Teaming and Model Evaluation.

OpenAI News · framework

Pacing model development in an era of cyber-critical capabilities

OpenAI says preliminary evidence that Astra may meet its Critical cybersecurity threshold led it to pause frontier reinforcement-learning work for two weeks and keep its largest planned run on hold. New safeguards include stronger workload and network isolation, continuous boundary testing, token-level monitoring that escalates suspicious tool activity, and broader alignment checks for deception, reward hacking, and unauthorized access.

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.