A comprehensive self-assessment tool to assess your organisation’s AI governance readiness from planning to deployment. Based on 7 global AI governance frameworks and resources.

This resource explores the need for governments, civil society, and AI practitioners to collaborate on developing clear guidelines for AI governance.

This resource discusses generative AI models, highlighting their potential opportunities and associated risks for both industry and authorities.

This AI Governance resource highlights the transformative potential and associated risks of generative AI, emphasising the need for robust governance frameworks.

This playbook includes actions, references, and related guidance to achieve the outcomes for the four functions in the  AI Risk Management Framework (AI RMF): Govern, Map, Measure, and Manage. 

The Risk Management Framework (RMF) provides a process that integrates security, privacy, and cyber supply chain risk management activities into the system development life cycle.

A discovery process for spotting unconscious biases and structural inequalities in AI systems.

Content Authenticity Initiative’s open-source software helps users integrate secure provenance signals into their sites, apps, and services.