M A Hossain<\/p>\n
There is a moment in the long, unglamorous history of weapons development when a technology stops being a tool and starts being a doctrine. The machine gun began as a curiosity, then became a tactical instrument, then remade the entire architecture of European civilisation \u2014 burying a generation in Flanders mud. The atomic bomb was sold as a way to end one war. Within a decade, it had restructured global politics entirely, producing a permanent condition of mutual dread that we still inhabit today.
\nWe are at that inflection point again. This time, the technology is artificial intelligence, and it is already deployed on real battlefields, identifying real targets, accelerating real decisions about who lives and who dies. The question is no longer whether AI will transform warfare. It already has. The question \u2014 the urgent, uncomfortable one that democratic societies are conspicuously failing to ask \u2014 is what kind of war we are choosing to wage, and whether we ever actually chose it at all.
\nProject Maven, the Pentagon\u2019s flagship AI targeting programme, was not born from a grand strategic vision. It emerged from a specific, practical frustration: the U.S. military was drowning in drone footage it could not process. Analysts stared at screens for hours, exhausted and error-prone, watching hours of surveillance video and flagging maybe a fraction of what mattered. Maven\u2019s original proposition was modest \u2014 let computer vision handle the sorting, free the humans for judgement. Track motorcycles. Flag patterns. Save the analyst\u2019s eyes for what counts.
\nThat is a reasonable argument. It is also, historically, how every incremental weapons revolution begins: with a limited use case and a sensible justification.
\nThe numbers, however, have a way of growing. By last year, the National Geospatial-Intelligence Agency was boasting that AI-assisted targeting could process a hundred targets a day without the technology \u2014 and a thousand with it. Add large language models into the targeting cycle, they said, and you could plausibly reach five thousand targets a day. Five thousand. The human analyst who once strained to review fifty images is now nominally \u201cin the loop\u201d on decisions being generated at industrial scale. The phrase \u201chuman in the loop\u201d \u2014 repeated like a liturgical chant by military commanders \u2014 begins to look less like a safeguard and more like a public relations strategy.
\nJim Mattis, who has forgotten more about strategy than most generals ever learn, put it plainly: targetry is no substitute for strategy. The ability to identify and strike five thousand things a day tells you nothing about whether striking them advances any coherent goal. It took the United States years of punishing experience in Iraq and Afghanistan to internalise that lesson. The temptation, with AI, is to forget it again \u2014 to mistake speed and scale for effectiveness, and efficiency for wisdom.
\nConsider the Iran operations, which have functioned as a real-world demonstration of AI-enabled warfare at scale. Central Command confirmed publicly that AI tools had compressed decision cycles that used to take days down to seconds. Impressive. And yet \u2014 what has been achieved? The regime did not fall. No popular uprising materialised. The strategic position of the United States in the region is not obviously improved. The argument that precision and speed produce strategic results has yet to be proven; in Iran, as in much of modern American military experience, the machines worked, and the strategy did not.
\nThe civilian dimension is worse. There have been credible reports of a school struck, lives lost \u2014 the kind of incident that, in an earlier era, might have provoked congressional hearings, public reckoning, genuine accountability. In the AI era, the conversation shifts almost immediately to the process. Was the algorithm correctly trained? Was the data properly labelled? The dead become a debugging problem.
\nThis is not hypothetical squeamishness. The laws of armed conflict exist precisely because wars fought without restraint tend not to end \u2014 they metastasise. The United States spent decades building the normative architecture of proportionality, distinction, precaution. That architecture is not a concession to weakness. It is the thing that makes the United States a country whose wars can be sustained politically over time. Undermine it, and the strategic cost compounds.
\nThere is a serious counterargument, and it deserves honest engagement. Friendly fire incidents \u2014 the agonising deaths that result from human confusion, exhaustion, and imperfect information \u2014 have plagued every war in history. If AI can genuinely reduce the rate at which soldiers kill their own comrades, or at which pilots mistake wedding parties for insurgent formations, that matters enormously. The advocates of Project Maven were not cynics or warmongers; many were veterans haunted by preventable deaths.
\nThe problem is the gap between what AI was designed to do and what it is increasingly being used for. The early, cautious ambition \u2014 don\u2019t use AI for casualty estimation, limit it to tracking motorcycles \u2014 gives way, step by step, to something far larger. One Pentagon programme rejected the idea of using AI to estimate how many civilians were in a strike zone because \u201cnobody wanted to stake their career on an AI-generated count.\u201d That instinct was sound. The worry is whether it survived contact with institutional pressure to go faster.
\nUkraine has offered a different model. The Delta system \u2014 Ukraine\u2019s battlefield awareness platform \u2014 has demonstrated that near-total situational awareness can be achieved without surrendering targeting decisions to autonomous systems. Drone operators can work from anywhere in the world. Every unit sees the common operating picture. The humans remain, genuinely, in the loop \u2014 not as rubber stamps on machine-generated kill lists, but as decision-makers with real information. It is not a perfect system. But it suggests that the choice is not binary, between AI targeting and fog of war.
\nThe deeper problem is political, not technical. The transformation of American warfare through AI has happened largely outside democratic deliberation. Congress has not passed legislation governing autonomous weapons. The public has not been asked whether it consents to wars fought at machine speed. The phrase \u201cappropriate levels of human judgement\u201d \u2014 the Pentagon\u2019s current formulation, notably absent from any mention of a \u201chuman in the loop\u201d \u2014 was written by officials, not debated by legislatures. History is not encouraging at this point.
\nTechnologies that reshape the conduct of war tend to outpace the political institutions meant to govern them. The drone programme expanded quietly for years before public debate caught up. Nuclear weapons produced the doctrine of mutual assured destruction before strategists had fully thought through its implications. Each time, the technology moved first, and democratic accountability scrambled to follow.
\nAI is moving faster than any of them. The question is not whether algorithms belong anywhere near the battlefield. The question is who decides where the line is \u2014 and whether anyone is really drawing it at all. That is not a technical question. It is a political one. And so far, the answer looks uncomfortably like: nobody in particular, moving very fast, in a direction nobody formally chose. That should bother us. It should bother us a great deal.<\/p>\n
The writer is a political and defense analyst based in Bangladesh. He can be reached at writetomahossain@gmail.com<\/p>\n
Courtesy<\/p>\n","protected":false},"excerpt":{"rendered":"
M A Hossain There is a moment in the long, unglamorous history of weapons development when a technology stops being a tool and starts being a doctrine. The machine gun began as a curiosity, then became a tactical instrument, then remade the entire architecture of European civilisation \u2014 burying a generation in Flanders mud. The […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[13085],"class_list":["post-548355","post","type-post","status-publish","format-standard","category-article","tag-m-a-hossain"],"yoast_head":"\n