What risk is associated with overreliance on AI?

• A. Complacency and misplaced trust in AI, leading to unverified decisions.
• B. Immediate improvement in decision quality across all domains.
• C. Elimination of the need for data governance.
• D. Increased transparency of AI decision processes.

Answer: (A)

Overreliance on AI creates complacency and misplaced trust, which leads to unverified decisions. When people come to rely on AI outputs as if they’re always correct, they tend to skip essential checks, validations, and human judgment. This can allow errors, biases, or data quality issues to slip through, since the AI’s recommendation isn’t automatically trustworthy simply because it’s produced by a machine. In security and risk work, that means decisions may be accepted at face value without verifying assumptions, testing against edge cases, or ensuring governance and controls are still properly applied. The risk is instead about the confidence gap between what AI can do and what humans should still review and challenge.

The other outcomes described—instant, universal improvement in decision quality; removal of data governance requirements; or guaranteed, increased transparency of AI decision processes—don’t align with how AI behaves in practice. AI can be opaque or biased, data and drift can degrade performance, and governance still remains essential.