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DOI: 10.4121/390bcc25-dec5-4298-b567-6dda255d6f87

He, Gaole; Bharos, Abri; Gadiraju, Ujwal (2025): User Interaction Dataset for Hypertext 2024 paper "To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems.". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/390bcc25-dec5-4298-b567-6dda255d6f87.v1

Categories

• Artificial Intelligence and Image Processing
• Information and Computing Sciences

Keywords

Debugging explainable AI Human-AI decision making Human-computer interaction

Licence

CC BY 4.0

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by Gaole He , Abri Bharos, Ujwal Gadiraju

This repo contains code and data associated with the paper "To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems." In our study, we asked participants to detect whether one piece of hotel reviews was generated by real customers or faked. We provide explanations as text highlights generated with BERT-LIME. In the debugging tutorial stage, participants are asked to adjust the model explanation and guess its correctness.

History

• 2025-02-06 first online, published, posted

Publisher

4TU.ResearchData

Format

table/csv

Associated peer-reviewed publication

To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems.

References

• https://arxiv.org/abs/2409.14377

Same as

https://osf.io/dh34y/?view_only=6a6833eafdbd4d5daa8c036579247159

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Software Technology, Web Information Systems Group