Trust is essential to cooperation, which produces positive-sum outcomes that strengthen society and benefit its individual members. As intelligent robots (and other AI agents) have increasing roles in human society and thus should be trustworthy, it is important to understand how appropriate trust can contribute to the success of human society. This motivates me to look at it from a social as well as a formal lens. Taking this approach forward in AI agent research, this project examined the effect of (dis)-similarity (of human & agent's values) on a human's trust in that agent.
Trust is essential to cooperation, which produces positive-sum outcomes that strengthen society and benefit its individual members. As intelligent robots (and other AI agents) have increasing roles in human society and thus should be trustworthy, it is important to understand how appropriate trust can contribute to the success of human society. This motivates me to look at it from a social as well as a formal lens. Taking this approach forward in AI agent research, this project examined the effect of (dis)-similarity (of human & agent's values) on a human's trust in that agent.
Publications
Carolina Centeio Jorge, Siddharth Mehrotra, Catholijn M. Jonker, Myrthe L. Tielman
AAMAS Proceedings of the 22nd International Workshop on Trust in Agent Societies, London, UK, D. Wang R. Falcone J. Zhang, vol. 3022, CEUR-WS.org, 2021
Shaping a multidisciplinary understanding of team trust in human-AI teams: a theoretical framework
Anna-Sophie Ulfert, Eleni Georganta, Carolina Centeio Jorge, Siddharth Mehrotra, Myrthe Tielman
European Journal of Work and Organizational Psychology, 2023 Apr, p. 14
More Similar Values, More Trust?--the Effect of Value Similarity on Trust in Human-Agent Interaction
Siddharth Mehrotra, Catholijn M Jonker, Myrthe L Tielman
AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, pp. 777--783
Modelling Trust in Human-AI Interaction 🎓
Siddharth Mehrotra
AAMAS: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, Doctoral Consortium, 2021, pp. 1826--1828