Raven Sentry
Employing AI for Indications and Warnings in Afghanistan
Bibliographic Data
| ID | 20138337 |
|---|---|
| Authors | Thomas W Spahr (corresponding author) |
| Year | 2024 |
| Volume | 54 |
| Issue | 2 |
| Publication date | 2024-05-29 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The US Army War College Quarterly Parameters (JOURNAL) |
| Journal identifiers | ISSN: 0031-1723 • E-ISSN: 0031-1723 |
| Publisher | United States Army War College Press (PUBLISHER) |
| DOI | 10.55540/0031-1723.3289 |
| OpenAlex | W4399164501 |
| Language | EN |
| Citations received | 1 |
This article examines Raven Sentry, a project that employed artificial intelligence to provide advance warning of insurgent attacks in Afghanistan. During 2019 and 2020, the Resolute Support Deputy Chief of Staff for Intelligence (J2) benefited from a command culture open to innovation, the urgency created by the US drawdown, and a uniquely talented group of personnel that, aided by commercial sector experts, built an AI system that helped predict attacks. The war’s end cut Raven Sentry short, but the experience provides important lessons on AI and the conditions necessary for successful innovation
Political science · Anomaly Detection Techniques and Applications · Law · Network Security and Intrusion Detection · Terrorism, Counterterrorism, and Political Violence
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |