Ethics — Practices & Playbooks
Applicable methods that turn the framework into day-to-day work.
35 results
AR-E01 · Ethical Charter and Non-Negotiables Workshop
Turn enterprise values, duties and risk appetite into a short decision charter that teams can apply to real AI use cases and agent actions.
Ethics
AR-E02 · Stakeholder and Human-Rights Impact Assessment
Identify and manage actual, potential and cumulative impacts on people, groups, society and the environment across the AI lifecycle.
Ethics
AR-E03 · Non-Delegable Decision and Accountability Design
Within the established decision architecture, make human outcome ownership, non-delegable decisions and the boundaries of AI or agent delegation explicit in the real workflow.
Ethics
AR-E04 · Contestability, Recourse and Remedy Design
Give affected people a practical way to understand, challenge, correct and obtain review or remedy for AI-influenced outcomes.
Ethics
AR-E05 · AI and Agent Inventory with Risk Classification
Create a living, decision-useful inventory and assign proportionate inherent and residual risk tiers to systems and agents.
Ethics
AR-E06 · Lifecycle Ethics and Risk Gate Design
Embed proportionate evidence and real decision authority into discovery, design, release, change, scale and retirement.
Ethics
AR-E07 · Decision Rights and Independent Challenge Map
Within the established decision architecture, clarify the Ethics-specific authorities for residual-risk acceptance, exceptions, independent challenge, restriction, intervention, shutdown, restart and assurance.
Ethics
AR-E08 · Continuous Monitoring and Material-Change Review
Connect production signals and material changes to timely investigation, control adjustment, restriction or reassessment.
Ethics
AR-E09 · AI Incident, Near-Miss and Harm Response
Contain harm, preserve evidence, protect affected people, learn from failure and control safe restart.
Ethics
AR-E10 · Principles-to-Controls Traceability
Connect ethical principles and obligations to system requirements, implemented controls, tests, evidence and exceptions.
Ethics
AR-E11 · Guardrail Design and Control Validation
Design layered safeguards at the points where AI output or agent action can still be prevented, constrained, detected or corrected.
Ethics
AR-E12 · Fairness and Differential-Impact Test
Define context-appropriate fairness objectives and test unequal errors, allocation, access, workload, override and downstream impact.
Ethics
AR-E13 · Privacy, Security and Data-Use Boundary Review
Review whether privacy, security and data-use boundaries across prompts, retrieval, tools, logs, memory and generated outputs are appropriate to the approved purpose and materially protect affected people and the organization.
Ethics
AR-E14 · Third-Party and Foundation-Model Assurance
Evaluate which provider evidence and controls can be relied on, which obligations remain with the provider and what must be established for the organization’s own deployment context and dependencies.
Ethics
AR-E15 · System, Model and Agent Transparency Card
Maintain a concise, versioned description of the deployed AI system, its dependencies, limits, controls, oversight and current evidence.
Ethics
AR-E16 · Decision Traceability and Audit Reconstruction
Ensure material AI-supported outcomes and agent actions can be reconstructed with attributable authority, evidence, versions and controls.
Ethics
AR-E17 · Stakeholder Disclosure and Explanation Design
Provide timely, accessible and faithful information that enables safe use, informed choice, oversight and challenge.
Ethics
AR-E18 · Content Provenance and Information-Integrity Control
Preserve source, generation, alteration, approval and publication evidence for content where deception, IP or public-trust risk is material.
Ethics
AR-E19 · Agent Autonomy and Delegated-Authority Design
Within the approved Autonomy Appetite and decision authority, define an agent’s permitted actions as an explicit, time- and scope-bounded authority envelope that remains attributable to an accountable human or service owner.
Ethics
AR-E20 · Agent Identity, Permission and Tool-Boundary Control
Give agents attributable identity and least-privilege, action-aware access to tools, data and destinations.
Ethics
AR-E21 · Human Oversight and Intervention Effectiveness Test
Verify that people can recognize, evaluate, interrupt, override and safely take back agent or AI work under real operating pressure.
Ethics
AR-E22 · Multi-Agent Supervision, Memory and Termination Review
Review whether multi-agent arrangements preserve authority boundaries, supervision, memory limits and safe termination across handoffs, long-running work and compound failure conditions.
Ethics
AR-E23 · Regulatory Applicability and Obligations Register
Translate changing legal, sector and contractual duties into system-specific controls, evidence, notices, owners and dates.
Ethics
AR-E24 · AI Management System and Assurance Evidence Pack
Build a coherent, evidence-based assurance case that connects purpose, obligations, impacts, risks, controls, evaluation, decisions and improvement.
Ethics