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
3.1 Governments should be cautious with revising existing IP laws. 3.2 Governments should explore the introduction of appropriate legislation (or the interpretation of existing laws) to clarify IP protection of AI enabled as well as AI created works, without seeking to create any new IP right at this stage. 3.3 When amending existing or implementing new IP laws, governments should seek adequately to balance the interests of all relevant stakeholders. 3.4 Governments should also explore a consensus in relation to AI and IP rights to allow for unhindered data flows across borders and the rapid dissemination of new technologies and seek to address these issues through an international treaty.
Reasoning
Governments creating or amending domestic laws to clarify IP protection for AI-enabled and AI-created works.
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 & FilteringOther (outside lifecycle)
Outside the standard AI system lifecycle
Governance Actor
Regulator, standards body, or oversight entity shaping AI policy
Manage
Prioritising, responding to, and mitigating AI risks