Human Review Checkpoints

LinkedIn Post 10: Human Review Checkpoints

Hook: "Your AI makes the decisions. Who verifies the decisions?"

Algorithmic autonomy sounds efficient. But from a liability perspective, it's dangerous.

The moment you delegate access, allocation, or security decisions to an AI system, you need human review checkpoints. Not occasional audits. Regular, documented, evidence-based review.

Why?

Because the liability is still yours. Even when the algorithm decides, you're liable for the outcomes. Courts will ask: did you have processes to catch algorithmic errors before they harmed someone?

If you didn't, you lose.

Preliminary governance frameworks suggest:

• Real-time human review for high-risk algorithmic decisions

• Regular (weekly/monthly) audits of algorithmic patterns

• Documented override procedures when algorithms err

• Clear escalation paths for occupants disputing algorithmic decisions

Insight: The algorithm does the heavy lifting. Humans provide the accountability.

CTA: How frequently are humans reviewing the algorithmic decisions that affect your occupants?

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*Preliminary research on human oversight in algorithmic governance. Not legal advice.*