Výsledky vyhledávání - "Tielman, Myrthe"

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A Systematic Review on Fostering Appropriate Trust in Human-AI Interaction

Autor: Mehrotra, Siddharth, Degachi, Chadha, Vereschak, Oleksandra, Jonker, Catholijn M., Tielman, Myrthe L.

Appropriate Trust in Artificial Intelligence (AI) systems has rapidly become an important area of focus for both researchers and practitioners. Various approaches have been used to achieve it, such as confidence scores, explanations, trustworthiness

Externí odkaz: http://arxiv.org/abs/2311.06305

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AI Alignment Dialogues: An Interactive Approach to AI Alignment in Support Agents

Autor: Chen, Pei-Yu, Tielman, Myrthe L., Heylen, Dirk K. J., Jonker, Catholijn M., van Riemsdijk, M. Birna

AI alignment is about ensuring AI systems only pursue goals and activities that are beneficial to humans. Most of the current approach to AI alignment is to learn what humans value from their behavioural data. This paper proposes a different way of l

Externí odkaz: http://arxiv.org/abs/2301.06421

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Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology

Autor: Verhagen, Ruben S., Mehrotra, Siddharth, Neerincx, Mark A., Jonker, Catholijn M., Tielman, Myrthe L.

The rapid development of Artificial Intelligence (AI) requires developers and designers of AI systems to focus on the collaboration between humans and machines. AI explanations of system behavior and reasoning are vital for effective collaboration by

Externí odkaz: http://arxiv.org/abs/2210.03737

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Akademický článek

Explainable AI for all - A roadmap for inclusive XAI for people with cognitive disabilities

Autor: Tielman, Myrthe L., Suárez-Figueroa, Mari Carmen, Jönsson, Arne, Neerincx, Mark A., Cavalcante Siebert, Luciano

Publikováno v: In Technology in Society December 2024 79

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Autor: Mehrotra, Siddharth, Jonker, Catholijn M., Tielman, Myrthe L.

Publikováno v: S Mehrotra, C. M. Jonker, and M. L. Tielman. More Similar Values, More Trust? - the Effect of Value Similarity on Trust in Human-Agent Interaction in Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES 21)

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

Externí odkaz: http://arxiv.org/abs/2105.09222

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