When AI's Human In The Loop Really Isn't
CIO, Thursday, September 3rd, 2026
Many enterprise human-in-the-loop AI controls are performative, lacking real domain knowledge, authority, or override capability.
The article challenges organizations that claim human-in-the-loop safeguards on AI systems, arguing many such controls are performative. Genuine oversight requires reviewers with domain knowledge, actual decision authority, and the technical means to override or halt AI actions - not merely a screen to watch.
Decision fatigue and automation bias erode effectiveness over time, as reviewers begin rubber-stamping approvals once the AI seems reliable.
The piece also notes human oversight is not universally appropriate; time-sensitive cybersecurity responses may need autonomy. IT leaders are urged to demand evidence of context, independent judgment, and real override capability.