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Implementation standards, guidelines, and documented best practices for AI development.
Also in Shared Infrastructure
2.1 Governments and organisations developing, deploying or using AI systems should recall that ethical and moral principles are not globally uniform but may be impacted e.g., by geographical, religious or social considerations and traditions. To be accepted, AI systems might have to be adjustable in order to meet the local standards in which they will be used. 2.2 Consider whether all possible occurrences should be pre-decided in a way to ensure the consistent behaviour of the AI system, the impact of this on the aggregation of consequences and the moral appropriateness of “weighing the unweighable” such as life vs. life.
Reasoning
Establishes ethical design principle requiring AI systems adjustable to local moral standards and consistent behavior configuration.
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
Govern
Policies, processes, and accountability structures for AI risk management
