R0041/2026-03-28/Q002/SRC01
Georgetown CSET analysis of AI risks in military decision-making.
Source
| Field |
Value |
| Title |
Reducing the Risks of Artificial Intelligence for Military Decision Advantage |
| Publisher |
Georgetown University Center for Security and Emerging Technology (CSET) |
| Author(s) |
CSET Researchers |
| Date |
2024 |
| URL |
https://cset.georgetown.edu/publication/reducing-the-risks-of-artificial-intelligence-for-military-decision-advantage/ |
| Type |
Policy research paper |
Summary
| Dimension |
Rating |
| Reliability |
High |
| Relevance |
High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
N/A |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Georgetown CSET is a respected policy research center with expertise in technology and security. Peer-reviewed publication process. |
| Relevance |
Directly addresses AI risks in military decision-making, including the dynamic of AI deferring to user expectations — the functional definition of sycophancy. |
| Bias flags |
Policy research from a university center, no apparent commercial conflicts. May have institutional perspective favoring regulation. |
| Evidence ID |
Summary |
| SRC01-E01 |
AI "caving to user expectations" identified as escalation risk in military contexts |