01
Respect
What may the system touch?
Set boundaries around people, data, decisions, and work before delegating anything.
Principles
Staying in charge is an operating practice
Respect, care, and accountability translated into practical duties for organizations adopting AI.
02
Care
What effects must you foresee?
Test likely benefits, failure modes, and consequences for the people affected by the workflow.
03
Accountability
Who monitors and answers?
Name an owner, maintain review and escalation paths, and do not look away after deployment.
AIAC's governance direction is grounded in the Humans Are In Charge manifesto. That manifesto is the authoritative source for the duties of Respect, Care, and Accountability; this page translates those duties into adoption practice without replacing or ranking above the source.
Responsibility as response-ability
Being responsible for an AI-enabled workflow means retaining the ability to respond. An organization must be able to observe what the system is doing, understand material exceptions, intervene when needed, and answer to the people affected.
Governance without the fear register
Governance is not a brake applied after value appears. Clear boundaries make pilots safer to run. Monitoring makes results more trustworthy. Named ownership makes useful workflows durable.
A practical test
Before advancing a workflow, ask:
- Have we respected the people, data, and decisions involved?
- Have we cared enough to examine likely effects and failure modes?
- Is someone accountable, equipped to monitor, and able to intervene?
If any answer is unclear, the workflow is not ready to advance.