The ninth AAAI/ACM Conference on AI, Ethics, and Society convenes technical, legal, philosophical, and social-science research in Malmö. The 2026 program examines the governance and societal consequences of AI systems as they move from experimental tools into entrenched infrastructure.
AAAI/ACM AIES 2026
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More curated notes connected through AI Compliance and Model Evaluation.
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.
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.
Now in preview: Find and fix software vulnerabilities with CodeMender
Google opened a preview of CodeMender, an AI code-security agent delivered through Gemini Enterprise Agent Platform and AI Threat Defense. It is designed to inspect code, identify and validate potentially exploitable defects, and produce targeted fixes, with Google’s specialized Gemini 3.5 Flash Cyber model initially restricted to governments and trusted partners.