Modelling Trust in Human-AI Interaction 🎓

Doctoral Consortium

Siddharth Mehrotra
AAMAS: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, Doctoral Consortium, 2021, pp. 1826--1828

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APA Click to copy
Mehrotra, S. (2021). Modelling Trust in Human-AI Interaction 🎓. In AAMAS: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1826–1828).

Chicago/Turabian Click to copy
Mehrotra, Siddharth. “Modelling Trust in Human-AI Interaction 🎓.” In AAMAS: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 1826–1828, 2021.

MLA Click to copy
Mehrotra, Siddharth. “Modelling Trust in Human-AI Interaction 🎓.” AAMAS: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 2021, pp. 1826–28.

BibTeX Click to copy

@inproceedings{mehrotra2021a,
  title = {Modelling Trust in Human-AI Interaction 🎓},
  year = {2021},
  chapter = {Doctoral Consortium},
  pages = {1826--1828},
  author = {Mehrotra, Siddharth},
  booktitle = {AAMAS: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems}
}

Abstract:
Trust is an important element of any interaction, but especially when we are interacting with a piece of technology which does not think like we do. Therefore, AI systems need to understand how humans trust them, and what to do to promote appropriate trust. The aim of this research is to study trust through both a formal and social lens. We will be working on formal models of trust, but with a focus on the social nature of trust in order to represent how humans trust AI. We will then employ methods from human-computer interaction research to study if these models work in practice, and what would eventually be necessary for systems to elicit appropriate levels of trust from their users. The context of this research will be AI agents which interact with their users to offer personal support.