AI/ML-Enabled Battle Damage Assessment Research (SENSOROPS LLC / U.S. Air Force) — a federal contract (USAspending)

1What battle damage assessment is

Battle damage assessment (BDA) is the work of judging how much effect an attack achieved, or how much damage was sustained. It has traditionally relied on people cross-checking imagery and reports, an area where speed and consistency of judgment can be hard to maintain.

This contract is framed around supporting that judgment with AI (artificial intelligence) and machine learning (techniques that learn patterns from data to predict or classify).

2Speeding up judgment with machine learning

What this award signals is that the work of reading a situation from imagery and other data is becoming a subject of public procurement, with an aim to automate and speed up that judgment using machine learning. The awarding office being the Department of the Air Force, and the explicit mention of AI/ML in the description, point to an effort to bring decision-support technology into practical use.

At the same time, details such as what data is used, or what level of accuracy or processing speed is targeted, are not stated in the source.

3Tracing firms and technical themes

Viewed across the wider landscape, this contract is a way to trace which firms and which technologies public funding is flowing toward. Procurement of AI- and machine-learning-based assessment and analysis spans many fields, so consolidating a vendor's awards and comparing them with contracts and grants on similar themes helps illustrate how the technology is spreading and how money is moving.

4Who does the matching

The difficulty of battle damage assessment lies less in the content of the judgement than in its speed and consistency.

That the awarding office is the Air Force, and that AI/ML is named in the summary, places this in the context of taking decision-support technology into practice. What data are used and what accuracy or speed is sought do not appear in the source. Procurement of AI-based assessment spreads across fields, making it useful material for comparison with related contracts and grants.