Which Biases and Reasoning Pitfalls Do Explanations Trigger? Decomposing Communication Processes in Human-AI Interaction
Collaborative human-AI problem-solving and decision making rely on effective communications between both agents. Such communication processes comprise explanations and interactions between a sender and a receiver. Investigating these dynamics is crucial to avoid miscommunication problems. Hence, in...
| Veröffentlicht in: | IEEE computer graphics and applications. - 1991. - 42(2022), 6 vom: 12. Nov., Seite 11-23 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2022
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| Zugriff auf das übergeordnete Werk: | IEEE computer graphics and applications |
| Schlagworte: | Journal Article |
| Zusammenfassung: | Collaborative human-AI problem-solving and decision making rely on effective communications between both agents. Such communication processes comprise explanations and interactions between a sender and a receiver. Investigating these dynamics is crucial to avoid miscommunication problems. Hence, in this article, we propose a communication dynamics model, examining the impact of the sender's explanation intention and strategy on the receiver's perception of explanation effects. We further present potential biases and reasoning pitfalls with the aim of contributing to the design of hybrid intelligence systems. Finally, we propose six desiderata for human-centered explainable AI and discuss future research opportunities |
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| Beschreibung: | Date Completed 06.04.2023 Date Revised 28.04.2023 published: Print-Electronic Citation Status MEDLINE |
| ISSN: | 1558-1756 |
| DOI: | 10.1109/MCG.2022.3200328 |