Purpose & boundaries
Define the approved use case, users, decisions, prohibited actions and conditions where the system should defer or stop.
TRUST · RESPONSIBLE AI
Responsible AI is an operating discipline.
Useful AI systems need explicit purpose, evaluation, human authority, bounded permissions, visible limitations and owners who can intervene when reality changes.
Evaluation
Use representative scenarios, acceptance criteria, known limitations and repeatable checks rather than relying only on demonstration quality.
Human oversight
Keep review, approval, override and escalation practical for the people accountable for high-impact outcomes and exceptions.
Lifecycle governance
Monitor behavior, investigate incidents, review material changes and reassess suitability as workflows, models, data and policies evolve.
RESPONSIBLE AI REVIEW
Questions that keep accountability visible.
- What is the approved purpose and what uses are out of scope?
- How is quality measured on representative cases?
- Which limitations or uncertainty must be visible to users?
- Where must a person review, approve or override the system?
- Which actions require explicit permissions or transaction limits?
- Who owns incidents, monitoring, change approval and retirement?
CONTEXT MATTERS
Responsible use depends on impact and operating context.
Different sectors and markets may require additional controls, documentation or review. This content is a delivery framework and should not be treated as legal, regulatory or sector-specific compliance advice.
APPLY THE PRINCIPLES