Papers
2
Total Citations
6
H-Index
2
About
Michael T. Tolston investigates the intersection of artificial intelligence, human-robot interaction, and moral psychology, focusing on how people perceive and collaborate with AI systems in ethically charged contexts. His major contributions center on understanding trust and moral judgment in human-AI teams, particularly through empirical studies of generative AI agents and robotic advisors. In his 2025 paper "Perceived trustworthiness and moral competence of a GenAI-enabled ethical robot advisor" (4 citations), Tolston explores how large-language models influence perceptions of moral capability, revealing critical insights into the design of trustworthy AI. His field study "Robots in the moral loop: a field study of AI advisors in ethical military decision-making" (2 citations) examines how long-term collaboration with robotic teammates shapes moral judgment in high-stakes environments, demonstrating that AI can subtly shift human ethical reasoning over time. Though his citation counts are modest, Tolston’s work addresses a pressing societal need—understanding how AI advisors affect moral decision-making in domains like defense and ethics. His research is notable for its real-world experimental approach, offering actionable findings for developers and policymakers. Tolston’s scholarship is essential reading for anyone interested in the ethical implications of deploying AI in human teams.
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