A 2024 study in International Studies Quarterly
webCredibility Rating
Gold standard. Rigorous peer review, high editorial standards, and strong institutional reputation.
Rating inherited from publication venue: Oxford Academic
An academic study from a top IR journal examining how automation bias and algorithmic accountability intersect with international political decision-making; relevant for those studying AI governance and the human factors in AI-assisted policy or security contexts.
Metadata
Summary
A 2024 study published in International Studies Quarterly examining how automation bias affects decision-making in international relations contexts, likely analyzing how human reliance on algorithmic outputs shapes political or security judgments. The study contributes empirical evidence to debates about accountability when AI-assisted systems influence high-stakes international decisions.
Key Points
- •Examines automation bias—the tendency for humans to over-rely on algorithmic recommendations—within international relations or security contexts
- •Published in International Studies Quarterly, a leading peer-reviewed journal in political science and IR, lending academic credibility
- •Likely investigates accountability gaps when AI or algorithmic tools mediate consequential decisions in governance or foreign policy
- •Contributes empirical social science evidence to the intersection of AI bias and international security or diplomatic decision-making
- •Relevant to debates about responsible AI deployment in high-stakes governmental and geopolitical settings
Cited by 3 pages
| Page | Type | Quality |
|---|---|---|
| AI-Human Hybrid Systems | Approach | 91.0 |
| Automation Bias (AI Systems) | Risk | 56.0 |
| AI-Driven Institutional Decision Capture | Risk | 73.0 |
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