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Definition of roles, teams, and responsibility assignments for AI governance.
Also in Oversight & Accountability
2.1 AI systems create challenges specifically in relation to the practicalities of meeting of requirements under a number of national legislative regimes, such as in relation to consent and anonymization of data. Accordingly, organisations that develop, deploy or use AI systems and any national laws that regulate such use shall make provision for alternative lawful bases for the collection and processing of personal data by AI systems.2.2 Organisations that develop, deploy or use AI systems should consider implementing operational safeguards to protect privacy such as privacy by design principles that are specifically tailored to the specific features of deployed AI systems. 2.3 Organisations that develop, deploy and use AI systems should appoint an AI Ethics Officer, in a role similar to Data Protection Officers under the GDPR, but with specific remit to consider the ethics and regulatory compliance of their use of AI.
Reasoning
Establishes AI Ethics Officer role with specific governance remit for ethics and regulatory compliance.
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 (multiple stages)
Applies across multiple lifecycle stages
Developer
Entity that creates, trains, or modifies the AI system
Manage
Prioritising, responding to, and mitigating AI risks
