MCP 2025 Edition: The Illustrated Guidebook
A protocol to connect AI models with external tools and data sources through a shared interface, solving the M×N integration problem for developers.
The AI Policy Playbook: 2024 Edition
A modular toolkit for lawmakers, researchers, and advocates to shape effective, rights-respecting AI policy—built on global principles, practical levers, and tested language from 40+ jurisdictions.
The Mitigating ‘Hidden’ AI Risks Toolkit
A policy-first toolkit for identifying and mitigating overlooked or under-prioritized AI risks—especially those affecting marginalized groups, low-visibility use cases, and long-term governance gaps.
AIGN AI Governance Culture Framework
Culture is governance’s invisible backbone. This framework helps leaders identify, assess, and embed cultural levers—from values to incentives—that shape responsible AI behavior across organizations.
SAIL Secure AI Lifecycle Framework, Version 1.0 – June 2025
A lifecycle-driven framework offering 70+ mapped AI-specific risks, actionable safeguards, and crosswalks to ISO 42001, NIST AI RMF, OWASP Top 10 for LLMs, and more – aimed at embedding security into every phase of AI development and deployment
Databricks AI Governance Framework
A practical, product-integrated framework for managing AI risks across the ML lifecycle—rooted in Databricks’ tooling and aligned with enterprise data governance priorities.
Privacy and Data Protection Risks in Large Language Models (LLMs)
A structured guide to identifying and mitigating privacy risks in LLMs—covering data leakage, user inference, training data exposure, and strategies for auditability and control.
THE MODEL ARTIFICIAL INTELLIGENCE LAW MAIL v.3.0
A detailed legislative framework proposing oversight, obligations, and incentives for AI systems—covering everything from foundation models and open-source exemptions to risk-based licensing and whistleblower protection.
AI Governance Library Newsletter #8: Putting Dollars on the Ethical AI
Scaling governance means more than more rules—it means better tools. This issue explores AI-assisted GRC, ethics-as-ROI, and governance for agents. Five standout reviews show where oversight is finally catching up with the systems we build.
Three Lines of Defense Against Risks from AI
A strategic proposal to professionalize AI risk governance.
The NSW AI Assessment Framework
The AI Assessment Framework is a practical tool for assessing the ethical and risk considerations of AI systems used by the NSW Government.
AI Security Risk Assessment
Customers acknowledge the need to secure AI systems but simply do not know how.
Why invest in AI ethics and governance?
Organizations that measure the value of AI ethics could be a step ahead. Our holistic AI ethics framework considers three types of ROI.
AI Governance Readiness Checklist
Quickly gauge your organization’s current maturity across AI discovery, risk management, and compliance.
AI bias in law enforcement
Without a shared understanding of how bias enters and operates in AI systems, law enforcement agencies risk embedding discrimination into everyday operations.
Responsible Use of AI Assistants in the Public and Private Sectors
Frontline users will need a high degree of discretion over how they use AI assistants. But this must be matched with rigorous oversight and clear internal boundaries.
AI Management Essentials
AIME distils key principles from existing AI regulations, standards and frameworks to provide an accessible starting point for organisations to assess and improve their AI management systems.
The Agentic Oversight Framework
The Agentic Oversight Framework ensures agents are contained and embedded into a secure environment that meets institutional requirements for data handling, oversight, and auditability.
AI Act Governance: Best Practices for Implementing the EU AI Act
Governance is not compliance. It is about enabling organizational culture, practice, and accountability to ensure that the values and rules enshrined in the AI Act are meaningfully realized.
AI Governance Library Newsletter #7: The Ethics Premium
Scaling governance means more than more rules—it means better tools. This issue explores AI-assisted GRC, ethics-as-ROI, and governance for agents. Five standout reviews show where oversight is finally catching up with the systems we build.
Risk Tiers: Towards a Gold Standard for Advanced AI
Risk tiers clarify the harms AI might present and identify the measures being taken to prevent them.
AI Governance by Design for Agentic Systems: A Framework for Responsible Development and Deployment
AI Governance by Design (AIGD) integrates ethical, legal, and societal considerations directly into AI system development from inception.
The ROI of AI Ethics: Profiting with Principles for the Future
Ethical AI isn’t a cost—it’s a sophisticated financial risk management and revenue generation strategy with measurable, substantial economic returns.
Microsoft Responsible AI Impact Assessment Template
We are releasing our Impact Assessment Template externally to share what we have learned, invite feedback from others, and contribute to the discussion about building better norms and practices around AI.
