R0044/2026-03-29/Q003/SRC02
"Bending the Automation Bias Curve" — International Studies Quarterly (2024)
Source
| Field |
Value |
| Title |
Bending the Automation Bias Curve: A Study of Human and AI-Based Decision Making in National Security Contexts |
| Publisher |
International Studies Quarterly (Oxford Academic) |
| Author(s) |
Not fully extracted |
| Date |
2024 |
| URL |
https://academic.oup.com/isq/article/68/2/sqae020/7638566 |
| Type |
Research paper (peer-reviewed) |
Summary
| Dimension |
Rating |
| Reliability |
High |
| Relevance |
Medium-High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
Low risk |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
Low risk |
| Bias: Protocol deviation |
Low risk |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Peer-reviewed in a respected international studies journal. Large sample (9,000 adults, 9 countries). Preregistered experiment. |
| Relevance |
Studies automation bias in national security contexts and mentions sycophancy, though the primary focus is on human decision-making factors. |
| Bias flags |
Low risk across all domains. Preregistered design with large sample. |
| Evidence ID |
Summary |
| SRC02-E01 |
Mentions sycophancy alongside automation bias in national security context; primary focus is on human factors driving over-reliance |