TA-14 AI Governance Library
risk-management
9 governance records in this category.
law
European Union Artificial Intelligence Act
A risk-based legal framework governing the development, placement on the market, deployment, and use of artificial intelligence systems in the European Union.
European Union · European Union
framework
NIST Artificial Intelligence Risk Management Framework
A voluntary framework for managing risks associated with artificial intelligence across organizational and system lifecycles.
National Institute of Standards and Technology · United States
guidance
Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
A companion profile to the NIST AI RMF addressing risks and actions specific to generative artificial intelligence.
National Institute of Standards and Technology · United States
standard
ISO/IEC 23894 Artificial Intelligence Risk Management
International guidance for organizations seeking to identify, assess, treat, monitor, and communicate risks related to artificial intelligence.
ISO and IEC · International
standard
ISO 31000 Risk Management Guidelines
General principles, framework, and process guidance for managing risk across organizations.
International Organization for Standardization · International
guidance
OMB Memorandum M-24-10: Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence
Federal agency guidance establishing governance, innovation, inventory, and risk-management expectations for agency use of artificial intelligence.
Office of Management and Budget · United States
law
Artificial Intelligence and Data Act
A proposed Canadian legislative framework intended to regulate high-impact artificial intelligence systems.
Parliament of Canada · Canada
framework
COSO Enterprise Risk Management Framework
An enterprise risk management framework integrating risk with strategy and organizational performance.
Committee of Sponsoring Organizations of the Treadway Commission · International
guidance
Model Governance
Governance practices covering model approval, versioning, validation, monitoring, retirement, and accountability.
TA-14 AI Governance Library · International