Research

Policy Primer - Translating Safety

Cohere

Global AI safety efforts have gained traction and momentum, but a critical challenge remains: how to ensure safety across diverse languages and cultures.

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Research Cohere

ResearchImproving Policy Learning via Language Dynamics DistillationCohere ResearchThe Multilingual Divide and Its Impact on Global AI SafetyCohere ResearchOPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple EstimatorsCohere ResearchThe Reality of AI and BioriskCohere ResearchThe Culture Funnel: You can’t align what isn’t in the dataCohere ResearchBidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMsCohere ResearchSecurity Implementation for Responsible AI: A Practical FrameworkCybersecurity Exchange JobsSafety Engineer - Free Tier AbuseElevenlabs NewsKyverno Defends Containers Against Security Configuration ErrorsThenewstack BlogsTailscale’s visual policy editor is in beta: add, edit, and deleteTailscale BlogsA decade of governance: Cloud Custodian at 10 and its role in the agentic AI eraCncf BlogsFrom data residency to digital sovereignty: Architectural patterns for cloud native platformsCncf Products & ServicesElevenLabs — Modern Slavery Policy StatementElevenlabs ResourcesPolicy structFastly BlogsLima v2.1: macOS guests and enhanced AI agent safetyCncf BlogsIntroducing Prempti: Policy and visibility for AI coding agentsCncf ResearchRewardBench 2: Advancing Reward Model EvaluationCohere ResearchSleeper Agents: Training Deceptive LLMs that Persist Through Safety TrainingAnthropic ResearchOpen-sourcing circuit-tracing toolsAnthropic ResearchTrustworthy agents in practiceAnthropic