Is your AI policy effective and viable?

Your policy has:
• Definitions.
• Labels.
• Scope.

What about rules for what happens when something goes wrong?
And rules for what happens after?

Failures are not rare events.
With and without AI,
Failures are normal events.

The question is whether your systems:
• catch them early
• stop them fast
• fix the harm
• learn in public

Use a simple process that works,
Without blocking your builders.

Essential Viable Governance (EVG)

1/ Incident reporting
If something breaks, it will be recorded and reviewed.

2/ Audit trails
A clear record of what changed, when, and why.

3/ Human override
A real "human in the middle" stop mechanism that can be activated quickly.

4/ Redress
If someone is harmed, there is a defined path to fix and address.

5/ Responsibility Chain
Named individual owners for decisions, updates, and fixes.

6/ Review, Oversight & Acceptance
Processes for Executive and Board Review at established frequency.

Good AI Policy must:
clarify and update safeguards,
make any harm visible,
and make repair mandatory.

Audit what’s missing in your AI:
incident reporting, human override, or redress?

📩 Working on your EVG? Talk to me.
📬 Subscribe to BRIDGE: https://lnkd.in/gpFa7-gW

♻️ Repost. Help Boards and CEOs with Effective AI Governance.
➕ Follow Adi Agrawal | Bridge the Gap