Kyle Wolsten

Papers

1

Total Citations

13

H-Index

1

About

Kyle Wolsten is a researcher at the intersection of artificial intelligence, moral psychology, and human-robot interaction. His work investigates a pressing question of our time: whether and under what conditions humans trust AI systems to influence moral decision-making. In his most-cited paper, "Trusting the Moral Judgments of a Robot: Perceived Moral Competence and Humanlikeness of a GPT-3 Enabled AI" (2023, 13 citations), Wolsten explores how advancements in large language models like GPT-3 challenge traditional assumptions about moral authority. By experimentally examining how perceived moral competence and humanlikeness shape trust in AI moral judgments, he provides foundational insights into the dynamics of human-AI collaboration in ethically charged contexts. His research bridges cutting-edge AI capabilities with fundamental questions about human values, offering critical guidance for designing AI systems that people can responsibly rely on. Wolsten’s work is essential reading for anyone interested in the ethical implications of deploying AI in roles that require moral sensitivity, from healthcare to autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Trusting the Moral Judgments of a Robot:Perceived Moral Competence and Humanlikeness of a GPT-3 Enabled AI
13 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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