AI Governance Explorer

Identify internal/external issues relevant to the AI Management System (AIMS) and the intended outcomes.

Identify interested parties (users, regulators, affected persons) and their requirements.

Define which AI systems, processes and units are inside the AIMS boundary.

Establish, implement, maintain and continually improve the AIMS and its processes.

Top management demonstrates commitment to the AIMS and accountability for outcomes.

Establish an AI policy aligned with strategy, signed off by top management.

Assign and communicate AI roles, including authority for AIMS conformance.

Set measurable AI objectives consistent with the AI policy.

Provide resources needed to establish and run the AIMS.

Workforce is aware of AI policy, their contribution and risks of non-conformance.

Internal and external communications regarding AIMS.

Plan and conduct internal audits of the AIMS at planned intervals.

Top management reviews AIMS suitability, adequacy and effectiveness.

Continually improve suitability, adequacy and effectiveness of the AIMS.

Document, approve and communicate an AI policy that sets the organisation's intent for responsible AI.

Align the AI policy with other organisational policies (privacy, security, quality, ethics).

Review the AI policy at planned intervals and after significant change to keep it suitable.

Define, assign and communicate roles, responsibilities and authorities for AI activities.

Provide a mechanism for personnel to raise concerns about AI systems without fear of reprisal.

Identify and document the resources (data, tooling, compute, people) needed for each AI system.

Document the tools used to develop, deploy and operate AI systems.

Set objectives that guide responsible development of AI systems across the lifecycle.

Define processes for the responsible use of AI systems within the organisation.

Set objectives for the responsible use of AI systems, aligned with the AI policy.