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Autonomy and agency

Army's Project Convergence uses AI to recommend and task battlefield shooters

The U.S. Army reported that its first Project Convergence exercise involved more than 800 personnel and used the Firestorm artificial-intelligence system to combine reconnaissance, recommend the best available shooters, and pass targeting tasks to weapon systems.

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CURRENT ASSESSMENT · REVISION 1
TOWARD DOOM43confidence 92/100

Why it moved the index

AI was exercised inside a live military targeting chain to recommend effectors and transmit tasks, directly increasing machine involvement in consequential force decisions. The event was an exercise with human command structures, not verified autonomous weapons release.

Assessment history

  1. R1
    Toward 43 · confidence 92

    New primary-source September 2020 military-autonomy exercise absent from the durable corpus.

    11 Aug 2026

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  1. DoomBench assesses “Army's Project Convergence uses AI to recommend and task battlefield shooters” as evidence moving toward doom, with magnitude 43 and confidence 92 out of 100 in the autonomy and agency category.

  2. The DoomBench assessment of “Army's Project Convergence uses AI to recommend and task battlefield shooters” is based on reporting from U.S. Army and records the editorial rationale, source quality, attribution, and revision history.

  3. DoomBench summarizes “Army's Project Convergence uses AI to recommend and task battlefield shooters” as follows: The U.S. Army reported that its first Project Convergence exercise involved more than 800 personnel and used the Firestorm...

    https://www.doombench.com/news/army-s-project-convergence-uses-ai-to-recommend-and-task-battlefield-shooters-2020-09-25