In the global rush to develop and deploy artificial intelligence, one metric remains conspicuously absent: how many people have died, directly or indirectly, because of AI? No government agency, international watchdog, or industry group maintains a public database of AI-attributable deaths. Yet researchers, journalists, and legal advocates have documented dozens of cases where artificial intelligence systems, whether embedded in military drones, medical diagnostics, criminal justice tools, or consumer applications, have either played a role in human deaths or have created conditions where fatal outcomes were more likely. Without clear accounting, the answer to a basic question of “how dangerous is AI, really?” remains hidden beneath layers of proprietary algorithms, regulatory opacity, and institutional denial. AUTONOMY AND WARFARE: AI’S DEADLIEST EDGE Nowhere are the risks more literal than in the defense sector. Since 2020, multiple open-source investigations have reported that AI-assisted autonomous drones have engaged targets in live combat zones without human confirmation. A 2021 United Nations Security Council report on Libya referenced a Turkish-made Kargu-2 drone that allegedly attacked retreating soldiers autonomously. Though the Libyan government did not confirm casualties, human rights observers warned the incident marked a pivotal shift in combat ethics. A machine had decided, unilaterally, to kill. The same year, reports surfaced that the Israeli military had used AI-assisted target selection in operations against Hamas. While Israeli Defense Forces denied that AI made final strike decisions, the role of algorithmic analysis in lethal operations was confirmed. Despite international treaties such as the Geneva Conventions requiring accountability in war, no formal legal framework exists to assign liability when AI miscalculates. As a result, civilian casualties from drone warfare, whether caused by faulty image recognition, misclassification of movement, or heat signature confusion, go unlinked to AI entirely, even when machine intelligence was involved in the targeting chain. MEDICAL ERRORS