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Official policy proposals and consultations
Machine learning in risk models – characteristics and supervisory priorities
Regulation and official guidance
Guidelines for AI procurement
Public procurement can be an enabler for the adoption of AI and could be used to improve public service delivery.…
Frameworks and principles
OECD framework for the classification of AI systems
Regulation and official guidance
Ethics and governance of artificial intelligence for health: WHO guidance
The WHO guidance on Ethics & Governance of Artificial Intelligence for Health is the product of eighteen months of deliberation…
Frameworks and principles
Good machine learning practice for medical device development: guiding principles
The U.S. Food and Drug Administration (FDA), Health Canada, and the United Kingdom’s Medicines and Healthcare products Regulatory Agency (MHRA)…
Frameworks and principles
Deliverable 1: principles for the evaluation of artificial intelligence or machine learning-enabled medical devices to assure safety, effectiveness and ethicality
As part of the G7’s health track artificial intelligence (AI) governance workstream 2021, member states committed to the creation of…
Frameworks and principles
Deliverable 2: principles to support the development and deployment of artificial intelligence or machine learning-enabled medical devices across jurisdictions
As part of the G7’s health track artificial intelligence (AI) governance workstream 2021, member states committed to the creation of…
Frameworks and principles
OECD AI principles (recommendation of the Council on Artificial Intelligence)
Frameworks and principles
Tools for trustworthy AI: a framework to compare implementation tools for trustworthy AI systems
Frameworks and principles
G20 AI principles
Frameworks and principles
Recommendation on the ethics of artificial intelligence
Reports, resolutions, and position papers
