Joshua Clingo
Papers
1
Total Citations
14
H-Index
1
About
Joshua Clingo’s research lies at the critical intersection of human-robot interaction, moral psychology, and artificial intelligence ethics. His most-cited work, “Overtrust in AI Recommendations About Whether or Not to Kill” (2024, 14 citations), confronts one of the most urgent questions of our time: how much should we trust autonomous systems in life-or-death decisions? Using a novel visual challenge paradigm that simulates the high-stakes task of distinguishing enemy combatants from civilians under uncertainty, Clingo’s experiments reveal a troubling tendency toward overtrust in AI recommendations—even when the stakes involve killing. This work not only advances our understanding of trust calibration in human-AI teams but also carries profound implications for military and security applications. By grounding abstract ethical debates in rigorous empirical methods, Clingo provides actionable insights for designing safer, more transparent autonomous systems. His research is essential reading for anyone concerned with the responsible deployment of AI in high-risk environments, and it positions him as a leading voice in the emerging field of AI ethics and human-robot trust dynamics.
Research Focus
Key Achievements
Top Papers
- 1