When “advisory” AI quietly becomes the decision
By Dr. Eva-Marie Muller-Stuler
How should human review be structured for high-volume automated recommendations?
The Automation Bias Mirage: treating human oversight as an effective risk mitigation when review queue velocity forces operators into passive concurrence.
In a simulated enterprise claims workflow audit (1,200 daily claims benchmark), cognitive queue load compressed median human inspection time to 4.2 seconds per case, resulting in an empirical 99.2% concurrence rate that failed to intercept seeded policy violations.
When empirical human inspection time falls below the minimum interval needed to evaluate source evidence, or when human-AI divergence drops near zero without independent re-testing, systems cannot claim human-in-the-loop mitigation and must be governed under Direct Execution controls.
"Do our human reviewers have verified inspection time budgets, independent evidence feeds, and organizational mandate to disagree with the AI?"
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