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.
Law & Compliance in AI Security & Data Protection
“Organizations might not even have clear answers to more fundamental questions such as: how does the output of an AI system affect things in practice? Or even—is AI used at all here?”
AI RMF 1.0 Controls Checklist
This checklist maps the NIST AI RMF 1.0 to 58 detailed compliance controls, offering a step-by-step implementation guide for GRC professionals. It includes metrics, control actors, and evaluation techniques—intended as a living document to streamline risk governance.
Ahead of the Curve: Governing AI Agents Under the EU AI Act
“If [AI agents] live up to their promise, they may soon become highly capable digital coworkers or personal assistants… moving AI ‘through the chat window and into the real world.’” — p. 7
The AIGN Framework 1.0
“AI that is not explainable, controllable, and fair is not trustworthy.” AIGN isn’t just another framework—it’s a toolkit, a movement, and a governance operating system built for our AI-saturated present.
From Invisible to Involved
Public institutions must not merely invite public comment—they must share power. Communities must be resourced and authorized to co-govern the design, deployment, and evaluation of AI systems.
AI Governance Library Newsletter #6: ISO What You Did There
ISO 42005 just gave AI impact assessments a formal structure—and a fighting chance at global consistency. Plus: five top-tier governance resources, a format refresh, and a reminder that security can be fun (if you’re defending your bank account from AI prompt hackers).
Al Data Governance Checklist
This practical and comprehensive implementation guide offers a structured, checklist-based framework for organizations seeking to operationalize AI data governance. Rooted
Reimagining Data Governance for AI: Operationalizing a Social License for Data Reuse
This report argues that traditional, consent-based models for governing AI data reuse are no longer adequate—especially in low- and middle-income countries (LMICs), where power asymmetries and exploitative data practices are common.
ISO/IEC 42005 Revolutionizes AI Impact Assessment
This document introduces the ISO/IEC 42005:2025 standard and offers a detailed, visually engaging explanation of how it enables standardized, interoperable AI impact assessments. Written and compiled by Georg Philip Krog.
EU AI Act Handbook
The EU AI Act Handbook is a comprehensive practical guide that helps legal, compliance, and technical teams understand and prepare for the EU AI Act. It explains the structure of the Act, breaks down obligations by stakeholder role.
