Medium Article:

Dr. Jerry A. Smith argues that manual numeric data verification is fundamentally unreliable due to inherent human cognitive limitations, such as fatigue, memory constraints, and confirmation bias. While traditional automation handles basic formatting, it lacks the semantic understanding necessary to catch complex, contextual errors. Frontier AI is presented as a structural necessity because it maintains consistent attention and processes vast amounts of information without the psychological lapses that affect people. By mapping AI capabilities to specific neurocognitive deficits, the author suggests a shift in which machines handle exhaustive verification and humans provide high-level oversight. Ultimately, the source advocates for a system-based accountability model that recognizes the ethical and operational risks of relying solely on human vigilance.