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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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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.

OWASP GenAI Security Project · guide

OWASP Top 10 for Agentic Applications for 2026

OWASP's community guide organizes agentic-system risk into ten categories, including goal hijacking, tool misuse, identity and privilege abuse, memory poisoning, insecure inter-agent communication, cascading failures, and rogue-agent behavior. It provides a shared taxonomy and mitigation starting point rather than a certification checklist or evidence that a deployed system is secure.

OECD.AI Wonk · guide

A five-step roadmap to closing the AI evaluation gap

The roadmap addresses evaluation results that overstate real-world performance or fail to transfer across deployment contexts. Its five steps balance standardized and local tests, evaluate throughout the lifecycle, build qualified assurance and communication capacity, tailor tests to each value-chain actor and technology, and use a coordinated, trusted process for updating methods.