Third, means that algorithms are never placed on “autopilot.” Regular audits for disparate impact, bias, and error rates must be published and acted upon. When an algorithm’s error rate exceeds a defined threshold (e.g., 5% false positives in welfare eligibility), the system should automatically suspend decisions until a human review is completed.
Under the Algorithm’s Gavel: Balancing Efficiency and Accountability in Public-Sector AI pcse00120