-- AI decision gate

AI moves faster than accountability. The gate slows that gap.

Before deploying any AI system, every team must be able to answer all of the following with specificity:

-> Why are we using AI here, and not a simpler approach?

-> What decisions does this AI system make on behalf of users?

-> Is the AI's decision visible and explainable to the person it affects?

-> Can the outcome be corrected if the AI is wrong or biased?

-> Who — by name — is responsible when this AI causes harm?

-> Has the system been tested against adversarial and edge inputs?

-> Is there a human override at every critical decision point?

Before deploying any AI system, every team must be able to answer all of the following with specificity:

No named human decision owner CRITICAL

Decision outcome is non-reversible CRITICAL

Decision invisible to the user it affects CRITICAL

No human override path exists HIGH

No adversarial or bias testing HIGH

Training data undocumented or unreviewed HIGH

Scope creep expected post-deployment MEDIUM

"Responsibility must remain with a human — always. Regardless of how much the AI contributes to the decision, the gate does not pass to the model."