Responsible AI Framework Tracker

April 23, 2024
Responsible AI Framework Tracker

As AI technology matures, it’s likely that we will see the number of frameworks increase. This page consists of a collection of frameworks and international standards specifically about AI or in areas that are connected to it. The aim is to make it easier for you to choose frameworks that fit your particular use case.

Want to learn more about AI regulation that is focused on particular jurisdiction? Take a look at our free Global AI Regulations Map.

One question that you might have is how does this ‘fit’ into the work Fairly AI does? These frameworks are the kinds of documents that provide the foundation from which we build policies. Each policy is built up of individual controls which act as individual ‘questions’ about a particular issue in AI or other areas connected to it. When you use our system, you can choose an answer and provide evidence to support your answer. We then categorize our controls based on the AI lifecycle.

What this means is that for a given area, such as ‘development’ or ‘validation’, we can see where gaps exist across a number of different policies.What that tells us is that the source documents for policy (e.g. regulations, standards, and frameworks) have gaps. Since we are able to detect those gaps, we are better equipped to help you choose a series of policies that fit your use case.

We update the list below as we come across new frameworks and standards in the AI space, you can make suggestions on our GitHub and please don't forget to give us a star if you find our work useful!

General-use Responsible AI and Risk Management Frameworks

Concept-based Frameworks

Benchmarking and Performance
Agentic Systems
Content Provenance
Cybersecurity and Safety
Definitions, Terminology, and Classification
Design, UI, and UX
Environmental Impact
Fairness and Bias
High Impact Risk
Human-Computer Interaction
Impact Assessments
System Management

Industry-based Frameworks

Cognitive Technology
Healthcare and Pharmaceuticals


Role-based Frameworks

Startup Founders
Leadership and Executives
Information Technology
Looking to operationalize a responsible AI framework? Work with Fairly to build your policy control center!



  • April 2024: The Coalition for Content Provenance and Authenticity (C2PA), ISO/IEC DIS 42005, IEEE P3157, IEEE P7008, IEEE P7009, IEEE P7014, IEEE P2840, ETSI GR SAI 006 v1.1.1, IEEE P3129, IEEE P3123, IEEE P3128, IEEE P2976, IEEE P2863, IEEE P2802, IEEE P2247.4, ISO/IEC TR 24029-1:2021, ISO/IEC 5338:2023, ISO/IEC TS 25058:2024, ETSI GR SAI 001 v 1.1.1, ISO/IEC 25012:2008, ISO/IEC 25024:2015, ISO 8000-2:2022, ANSI/CTA 2089, BS 30440:2023, ISO/IEC DTS 12791, ISO/IEC DIS 12792, ISO/IEC AWI TS 29119-11, ISO/IEC TR 24028:2020, ISO/IEC NP TS 12831, IEEE 7001-2021, ANSI/CTA 2096, XP Z77-101, NWIP TR N256, CAN/CIOSC 101:2019 (R2021), IEC SRD 63416:2023 ED1, ITU-T H.862.5 (06/2021), ISO/IEC TS 38501:2015, ISO/IEC TS 27022:2021,
  • March 2024: Anekanta Responsible AI Governance Framework for Boards, Design Principles for Generative AI Applications,
  • February 2024: Australia's Responsible AI Framework, OpenAI's Preparedness Framework (Beta), UNESCO's Guidance for Generative AI in Education and Research, Radical Ventures' Responsible AI for Startups (RAIS) framework, Responsible Innovation Labs Responsible AI Policy.

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