Third-party resources for AI governance
This resource provides a collection of carefully curated AI governance resources from trusted organizations that offer actionable practices and insights to those in the field.
Contributors:
Ashley Casovan
Managing Director, AI Governance Center
IAPP
From AI developers, deployers and regulators alike in cities all over the world, the most common challenge we hear from AI governance professionals is the overwhelming amount of information they are expected to read and be aware of on any given day. Knowing which AI governance resources are out there; which ones are relevant to your industry, organization and role; and who you should trust for this content is both critical and challenging. This is true for seasoned professionals and those new to the field.
As a professional association that develops some of these resources, we at the IAPP empathize with you. By being part of the AI governance ecosystem, we also know that there are other organizations producing great work that will be useful to our global community. Instead of re-inventing existing work, we think it's important to highlight key resources outside of the IAPP that will help AI governance practitioners manage their day-to-day responsibilities.
This resource houses a collection of carefully curated resources from trusted organizations that offer actionable practices and insights to those in the field. The IAPP will continue to actively contribute novel research and provide resources that help define, shape and grow this burgeoning profession. However, we recognize that AI governance demands a full-sum approach, and we believe our collective efforts can help advance and empower the profession.
Third-party resources
Artificial intelligence impact assessment tool
Australian Government
Model cards overview and guidebook
Hugging Face
Data Labelling
Data Nutrition Project
Human Rights AI Impact Assessment
Ontario Human Rights Commission
Assessing Risks and Impacts of AI
U.S. National Institute of Standards and Technology (NIST)
Responsible Practices for Synthetic Media and applied case studies
Partnership on AI
Decoding AI Governance: A Toolkit for Navigating Evolving Norms, Standards, and Rules
Partnership on AI
AI Alliance Projects
Data & Trusted AI Alliance
Health AI Implementation Toolkit
Vector Institute
Tools for Verifying Neural Models Training Data
Dami Choi, Yonadav Shavit and David Duvenaud
AI Governance Playbook
Council on AI Governance
What If Tool
Google (open source)
RAISE: A Unified Framework for Responsible AI Scoring and Evaluation
Loc Phuc Truong Nguyen and Hung Thanh Do
FACTS Benchmarking Suite: Systematically evaluating the factuality of large language models
DeepMind
FairML
Julius Adebayo and Micha Gorelick
Removing Disparate Impact
Black Box Auditing and Certifying
AI System Ethics Self- Assessment Tool
Digital Dubai
Consequence Scanning
doteveryone
An ethics checklist for data scientists
Deon
The Data Cards Playbook
The Data Cards Playbook
Empowering AI Leadership
World Economic Forum
AI governance framework template
Institute of Community Directors Australia
Code of Practice for General-Purpose AI Models: Transparency Chapter
European Commission
Policy Guide for Implementing Transformative AI Policy Recommendations
Global Partnership on Artificial Intelligence (GPAI) and the Organisation for Economic Co-operation and Development (OECD)
Responsible AI Impact Assessment Template
Microsoft
Responsible AI Policy Template
Responsible AI Institute
Standard for AI transparency statements
Australian Government
Model contractual clauses
European Commission
Policy Recommendations for the Responsible Use of Artificial Intelligence
Data and Trusted AI Alliance
Algorithmic Impact Assessment in Healthcare
Ada Lovelace Institute
AI Governance and Regulatory Archive
Emerging Technology Observatory
Tools and Metrics for Trustworthy AI catalogue
OECD
AI Governance Testing Framework and Toolkit
Government of Singapore, Personal Data Protection Commission
AI Verify Toolkit
AI Verify Foundation
The General-Purpose AI Code of Practice to support the EU AI Act
European Commission
AI Literacy Repository
European Commission
NIST AI Risk Management Framework
National Institute of Standards and Technology
NIST AI RMF: Generative Artificial Intelligence Profile
National Institute of Standards and Technology
AI Risk Repository
Massachusetts Institute of Technology
AI Incident Database
AI Incident Database
Guidance for generative AI in education and research
United Nations Educational, Scientific and Cultural Organization
Towards Substantive Equality in Artificial Intelligence: Transformative AI Policy for Gender Equality and Diversity
GPAI and the OECD
Indo-Pacific Research Ethics Framework on AI Use
Indic Pacific Legal Research
AI Standards Hub
Turing Institute, British Standards Institution and the U.K. Government
Artificial Intelligence and Data Governance Standardization Hub: Standards Database
Standards Council of Canada
Global AI Standards Repository
Open Community for Ethics in Autonomous and Intelligent Systems
Trusted third-party AI assurance roadmap
U.K. Government
AI Auditing - Checklist for AI Auditing
European Data Protection Board
Vector Institute Research
Vector Institute
AI Global Alliance Insights repository
WEF
Advancing Responsible AI Innovation Playbook
WEF
ATLAS Risk Matrix
MITRE
GenAI Security Project
Open Worldwide Application Security Project
What to expect
While vast in its depth of knowledge and volume of topics, the AI governance ecosystem can be an overwhelming collective of policy makers, regulators, AI companies, standards bodies, academic and research institutes, civil society groups, non-governmental organizations and individual contributors working to solve disparate AI governance challenges across many domains and regions.
With a consistent goal of helping support those tasked with AI governance to do their work, we wanted to provide easy access to practical resources. This is not meant to be an exhaustive list but rather a platform to quickly find tools and templates we like and think you might find useful too.
As a policy-neutral nonprofit, we are not endorsing any of the listed resources. We will periodically update and expand this list. If there is a resource that you think should be included, please let us know.
To access all IAPP AI Governance resources, please visit our AI Governance resources page.
Special thanks to Kevin Fumai who is an active IAPP member and contributor. His LinkedIn posts summarizing AI governance content and jobs were an inspiration to build out a tool like this.

This content is eligible for Continuing Professional Education credits. Please self-submit according to CPE policy guidelines.
Submit for CPEsContributors:
Ashley Casovan
Managing Director, AI Governance Center
IAPP
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