Source: Financial Times (paywall)
The Financial Times examines how military adoption of AI for targeting—prized for its velocity and capacity to process vastly more data than human analysts—introduces a new class of systematic error at scale. Faster target identification saves lives in some scenarios but creates cascading failure modes in others, where algorithmic mistakes can propagate across entire strike campaigns before human review catches them. The problem is structural: the speed advantage that makes AI militarily attractive also embeds error at a scale human oversight cannot match in real time.