Artificial Governance Resources

AI Governance Resources 

Patricia C. Franks and Scott Cameron provided this list of helpful resources. Be sure to check out their AIIM blog post about paradata and documenting artificial intelligence (AI) processes. 

While not exhaustive, this list of standards and frameworks will provide a starting point to understand AI-related responsibilities and risks when devising approaches to documenting AI implementations.  

Multi-national: Organization for Economic Cooperation and Development (OECD)  

• OECD AI Principles - https://oecd.ai/en/ai-principles  
• The OECD Framework for the Classification of AI Systems - https://oecd.ai/en/classification
    
  

European Union  

• EU Artificial Intelligence Act - https://artificialintelligenceact.eu/  
• AI Act: a step closer to the first rules on Artificial Intelligence (Compromise text) - https://www.europarl.europa.eu/news/en/press-room/20230505IPR84904/ai-act-a-step-closer-to-the-first-rules-on-artificial-intelligence  
  
  

United States 

• Artificial Intelligence Risk Management Framework (AR RMF 1.0) - https://www.nist.gov/itl/ai-risk-management-framework  
• NIST AI RMF Playbook - https://airc.nist.gov/AI_RMF_Knowledge_Base/Playbook 
• Artificial Intelligence: An Accountability Framework for Federal Agencies and Other Entities - https://www.gao.gov/products/gao-21-519sp  
• DOE AI Risk Management Playbook (AIRMP) - https://www.energy.gov/ai/doe-ai-risk-management-playbook-airmp  
• The White House Blueprint for an AI Bill of Rights - https://www.whitehouse.gov/ostp/ai-bill-of-rights/ 
• NIST Four Principles of Explainable Artificial Intelligence - https://doi.org/10.6028/NIST.IR.8312