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Mehrotra, S. (author), Centeio Jorge, C. (author), Jonker, C.M. (author), Tielman, M.L. (author)
Establishing an appropriate level of trust between people and AI systems is crucial to avoid the misuse, disuse, or abuse of AI. Understanding how AI systems can generate appropriate levels of trust among users is necessary to achieve this goal. This study focuses on the impact of displaying integrity, which is one of the factors that influence...
poster 2023
document
Centeio Jorge, C. (author), Bouman, Nikki H. (author), Jonker, C.M. (author), Tielman, M.L. (author)
Introduction: Collaboration in teams composed of both humans and automation has an interdependent nature, which demands calibrated trust among all the team members. For building suitable autonomous teammates, we need to study how trust and trustworthiness function in such teams. In particular, automation occasionally fails to do its job, which...
journal article 2023
document
Centeio Jorge, C. (author), Tielman, M.L. (author), Jonker, C.M. (author)
Mutual trust is considered a required coordinating mechanism for achieving effective teamwork in human teams. However, it is still a challenge to implement such mechanisms in teams composed by both humans and AI (human-AI teams), even though those are becoming increasingly prevalent. Agents in such teams should not only be trustworthy and...
conference paper 2022
document
Centeio Jorge, C. (author), Tielman, M.L. (author), Jonker, C.M. (author)
As intelligent agents are becoming human's teammates, not only do humans need to trust intelligent agents, but an intelligent agent should also be able to form artificial trust, i.e. a belief regarding human's trustworthiness. We see artificial trust as the beliefs of competence and willingness, and we study which internal factors (krypta) of...
conference paper 2022
document
Mehrotra, S. (author), Jonker, C.M. (author), Tielman, M.L. (author)
As AI systems are increasingly involved in decision making, it also becomes important that they elicit appropriate levels of trust from their users. To achieve this, it is first important to understand which factors influence trust in AI. We identify that a research gap exists regarding the role of personal values in trust in AI. Therefore, this...
conference paper 2021
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