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
1.1 There is an inherent and developing conflict between the increasing use of AI systems to manage private data, especially personal data; and the increasing regulatory protection afforded internationally to personal and other private data. 1.2 Governments that regulate the privacy implications of AI systems should do so in a manner that acknowledges the specific characteristics of AI and that does not unduly stifle AI innovation. 1.3 Organisations that develop, deploy and use AI systems should analyse their current processes to identify whether they need be updated or amended in any way to ensure that the respect for privacy is a central consideration.
Reasoning
Organizations analyze current processes to identify privacy gaps and necessary updates.
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
Map
Identifying and documenting AI risks, contexts, and impacts
