@inproceedings{6c2f1197eb4f45de960ee34c6aceb93b,
title = "To err is AI",
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.",
keywords = "AI, HCI, error detection, error repair, errors, failures, interaction design, user perception",
author = "Alba Bisante and Alan Dix and Emanuele Panizzi and Stefano Zeppieri",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 15th Biannual Conference of the Italian SIGCHI Chapter: Crossing HCI and AI, CHItaly 2023 ; Conference date: 20-09-2023 Through 22-09-2023",
year = "2023",
month = sep,
day = "20",
doi = "10.1145/3605390.3605414",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "CHItaly 2023 - Crossing HCI and AI",
}