Accountability Before Liability
Liability is downstream. Decision rights come first.
Organizations often ask "who is liable if the AI gets it wrong?" A more useful governance question comes first: who had the authority to allow the AI to act?
1Who owns the use case?
2Who approved the AI?
3Who accepted the risk?
4Who determined its autonomy?
5Who can intervene?
6Who can stop it?
The Accountability Model
The chain of authority, action, and evidence
For every consequential AI use case, accountability must be traceable across the entire chain. Click any node to inspect its governance attributes.
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Live Demonstrations
Four interactive demos
Each demo shows what happens when AI is allowed to act — and how accountability, authority, and evidence make it defensible.
The argument begins here
Can we trust AI enough to let it act?
Chapter 2 asked what happens when AI acts. Chapter 1 shows how governance creates the trust that makes action possible.
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