AI Automation Raises Human Oversight Risks in the Workplace

When artificial‑intelligence systems run tasks reliably, employees shift from doing the work to merely reviewing AI output. Over time, this can erode the skills needed to intervene when the system fails—a phenomenon known as the out‑of‑the‑loop performance problem. The article highlights a latent risk: workers may become less prepared to exercise independent judgment while still being held accountable for decisions they rarely make. It also points to measurement challenges—high override rates may signal dependence rather than competence—and governance issues, urging firms to regularly reassess the evolving human‑AI relationship. Deloitte’s audit training redesign, which uses simulations to keep trainees’ judgment sharp, exemplifies one response to this shift.