AI systems are increasingly capable of moving from information to reasoning, from reasoning to decisions, and from decisions to action. The greater the autonomy, the greater the need for an independent framework governing authority and accountability.
DCL provides an engineering control layer between machine intelligence and consequential action.
DCL AT A GLACE
What is it?
An engineering control layer for governing consequential autonomous actions.
What does it do?
Governs whether consequential autonomous actions are authorised to proceed.
Why is it needed?
Because AI is moving from recommendation into independent decision and action.
What does the customer retain?
Control. Authority. Oversight. Accountability.
Why is it different?
Most governance defines policy or observes behaviour. DCL brings organisational authority to the point where machine intelligence becomes operational action.
DCL is designed around five principles
Control
AI operates within defined authority.
Governance
Organisational policy remains authoritative.
Accountability
Autonomous action remains attributable and reviewable.
Oversight
Autonomous decisions and actions remain visible to the organisation.
Independence
The mechanism governing an action should remain independent of the system making the decision.
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