To err is AI
Article No.: 13, Pages 1 - 11
Abstract
In this work, we analyze the different contexts in which one chooses to integrate artificial intelligence into an interface and the implications of this choice in managing user interaction. While AI in systems can provide significant benefits, it is not infallible and can make errors that seriously affect users. We aim to understand how to design more robust human-AI systems so that these initial AI errors do not lead to more catastrophic failures. To prevent failures, it is essential to detect errors as early as possible and have clear mechanisms to repair them. However, detecting errors in AI systems can be challenging. Therefore, we examine various approaches to error detection and repair, including post-hoc estimation, the use of traces and ambiguity, and multiple sensor layers.
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Published In
September 2023
416 pages
ISBN:9798400708060
DOI:10.1145/3605390
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 20 September 2023
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CHItaly 2023
CHItaly 2023: 15th Biannual Conference of the Italian SIGCHI Chapter
September 20 - 22, 2023
Torino, Italy
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Overall Acceptance Rate 109 of 242 submissions, 45%
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