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Implementation standards, guidelines, and documented best practices for AI development.
Also in Shared Infrastructure
Organisations that develop, deploy or use AI systems and any national laws that regulate such use shall respect and adopt the eight principles of this Policy Framework for Responsible AI (or other analogous accountability principles). In all instances, humans should remain accountable for the acts and omissions of AI systems.
Reasoning
Establishing formal policy framework for organizational accountability principles governing AI system development and deployment.
Accountability
2.1.2 Roles & AccountabilityGovernment
3.1.1 Legislation & PolicyContextual approach
3.1.1 Legislation & PolicyEthical 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
Developer
Entity that creates, trains, or modifies the AI system
Map
Identifying and documenting AI risks, contexts, and impacts
