Conceptualizing the Relationship between AI Explanations and User Agency
Human-Computer Interaction
2023-12-07 v1 Computers and Society
Abstract
We grapple with the question: How, for whom and why should explainable artificial intelligence (XAI) aim to support the user goal of agency? In particular, we analyze the relationship between agency and explanations through a user-centric lens through case studies and thought experiments. We find that explanation serves as one of several possible first steps for agency by allowing the user convert forethought to outcome in a more effective manner in future interactions. Also, we observe that XAI systems might better cater to laypersons, particularly "tinkerers", when combining explanations and user control, so they can make meaningful changes.
Cite
@article{arxiv.2312.03193,
title = {Conceptualizing the Relationship between AI Explanations and User Agency},
author = {Iyadunni Adenuga and Jonathan Dodge},
journal= {arXiv preprint arXiv:2312.03193},
year = {2023}
}
Comments
CHI 2023 Workshop: Human-Centered Explainable AI (HCXAI)