Tracking AI Regulations, Governance and Incidents
Here are the key Trackers to follow to stay ahead.
𝐀𝐈 Incidents & Risks
AI Risk Repository [MIT FutureTech]
A comprehensive database of 700 risks from AI systems https://airisk.mit.edu/
AI Incident Database [Partnership on AI]
Dedicated to indexing the collective history real-world of harms caused by the deployment of AI
https://lnkd.in/ewBaYitm
AI Incidents Monitor [OECD – OCDE]
AI incidents and hazards reported in international media globally are identified and classified using machine learning models https://lnkd.in/e4pJ7jcA
𝐀𝐈 Regulations & Policies
Global AI Law and Policy Tracker [IAPP]
Resource providing information about AI law and policy developments in key jurisdictions worldwide https://lnkd.in/eiGMk9Rm
National AI Policies and Strategies [OECD.AI]
Live repository of 1000+ AI policy initiatives from 69 countries, territories and the EU https://lnkd.in/ebVTQzdb
Global AI Regulation Tracker [Raymond Sun]
An interactive world map that tracks AI law, regulatory and policy developments around the world https://lnkd.in/ekaKzmzD
U.S. State AI Governance Legislation Tracker [IAPP]
Tracker which focuses on cross-sectoral AI governance bills that apply to the private sector https://lnkd.in/ee4N-ckB.
𝐀𝐈 Governance Toolkits & Resources
AI Standards Hub [The Alan Turing Institute]
Online repository of 300+ AI standards https://lnkd.in/erVdP4g7
AI Risk Management Framework Playbook [National Institute of Standards and Technology (NIST)]
Playbook of recommended actions, resources and materials to support implementation of the NIST AI RMF https://lnkd.in/eTzpfbCi
Catalogue of Tools & Metrics for Trustworthy AI [OECD.AI]
Tools and metrics which help AI actors to build and deploy trustworthy AI systems https://lnkd.in/e_mnAbpZ
Portfolio of AI Assurance Techniques [Department for Science, Innovation and Technology]
The Portfolio showcases examples of AI assurance techniques being used in the real-world to support the development of trustworthy AI. https://lnkd.in/eJ5V3uzb