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A 2024 study in International Studies Quarterly

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Credibility Rating

5/5
Gold(5)

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

Importance: 52/100journal articleprimary source

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

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