This page is still being polished. If you have thoughts, please share them via the feedback form.
Data on this page is preliminary and may change. Please do not share or cite these figures publicly.
Laws, legal frameworks, and binding policy instruments governing AI development and use.
Also in Legal & Regulatory
2\. Governments that assess the potential for “accountability gaps” in existing legal and regulatory frameworks applicable to AI systems should adopt a balanced approach that encourages innovation while militating against the risk of significant individual or societal harm. 2.1 Any such legal and regulatory frameworks should promote the eight principles of the Policy Framework for Responsible AI or encompass similar considerations. 2.2 Governments should not grant distinct legal personality to AI systems, as doing so would undermine the fundamental principle that humans should ultimately remain accountable for the acts and omissions of AI systems.
Reasoning
Governments adopt legal frameworks assessing accountability gaps and promoting AI principles through binding domestic policy instruments.
Ethical Purpose and Societal Benefit
Organisations that develop, deploy or use AI systems and any national laws that regulate such use should require the purposes of such implementation to be identified and ensure that such purposes are consistent with the overall ethical purposes of beneficence and non-maleficence, as well as the other principles of the Policy Framework for Responsible AI.
3.2.2 Technical StandardsEthical Purpose and Societal Benefit > Overarching principles
2.1.3 Policies & ProceduresEthical Purpose and Societal Benefit > Work and automation
2.2.1 Risk AssessmentEthical Purpose and Societal Benefit > Environmental impact
2.2.1 Risk AssessmentEthical Purpose and Societal Benefit > Weaponised AI
3.1.3 International AgreementsEthical Purpose and Societal Benefit > The weaponisation of false or misleading information
1.2.1 Guardrails & FilteringOperate and Monitor
Running, maintaining, and monitoring the AI system post-deployment
Governance Actor
Regulator, standards body, or oversight entity shaping AI policy
Measure
Quantifying, testing, and monitoring identified AI risks