Ukraine · U.S. · MIT Technology Review
Bad actors could acquire the data, but purchase controls already mitigate that risk
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Training data creates a new tracing problem, though.
Key facts
- Cory Alpert is a researcher at the University of Melbourne, looking at the impact of AI on democracy
- Its Avengers Labs program allows companies to train models on battlefield data without giving them direct access to sensitive databases
- AI companies spend years and enormous sums trying to capture enough of these moments to make their models more robust
- A new technique has let the company probe deeper than ever into the weird workings of an LLM
Summary
Battlefields in Ukraine are littered with the remnants of drones, which are now firmly established as a critical weapon of modern warfare. For every flight, unmanned systems collect thousands of points of data, from images and video to controller inputs. For a country at war, it’s a quick way to attract funding and partnerships. Other countries and battlefields are likely to follow Ukraine’s lead, but the responsibility for governing this new industry cannot fall solely on a country fighting for its survival. Ukraine’s battlefields are not the first to produce records used to train and develop models: American drones over Syria and Yemen collected data that informed the first generation of semiautonomous military hardware in the late 2010s.