MIT Technology Review's report on a proposed Pentagon AI-powered lie detector sits in one of the most dangerous corners of applied AI: systems that make claims about truth, risk, and human intent.
The stakes are higher than ordinary automation because errors can affect investigations, employment, security clearance, and civil liberties. An algorithmic score can look objective even when the underlying signal is weak or context-dependent.
The right standard is not whether AI can make the system feel modern. It is whether independent evidence shows it works, whether affected people can contest outcomes, and whether agencies can explain what the system is measuring.
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