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The specimen
A labelled sample of the register you receive. The codes, titles and evidence are real. The owner and due date columns are empty, as they are in the kit.
Specimen, not your organisation's data. Download the specimen CSV.
| Code | Title | Evidence artefact | Owner | Due |
|---|---|---|---|---|
4 | Principles of AI risk management | Statement of how each of the eight principles is applied to the organization's AI activities | Owner | Due |
5.1 | General | Governing body's stated AI risk appetite and the delegation to management | Owner | Due |
5.2 | Leadership and commitment | Published statement of commitment to AI risk management | Owner | Due |
5.3 | Integration | AI risk management embedded in the organization's governance, strategy and decision-making processes | Owner | Due |
5.4.1 | Understanding the organization and its context | Context analysis covering AI-specific law, ethics guidelines, technology trends and stakeholder perceptions | Owner | Due |
5.4.2 | Articulating risk management commitment | AI risk management policy or commitment statement issued by top management | Owner | Due |
5.4.3 | Assigning organizational roles, authorities, responsibilities and accountabilities | Assigned accountability for each AI system and its data, model, deployment and oversight roles | Owner | Due |
5.4.4 | Allocating resources | Resource plan for AI risk management naming expertise, tools and capacity | Owner | Due |
5.4.5 | Establishing communication and consultation | Communication and consultation plan naming AI-affected stakeholders | Owner | Due |
5.5 | Implementation | Implementation plan placing AI risk decisions at defined life cycle points | Owner | Due |
5.6 | Evaluation | Periodic evaluation of the AI risk management framework with indicators | Owner | Due |
5.7.1 | Adapting | Record of framework adaptations triggered by AI changes | Owner | Due |