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Computer Science > Human-Computer Interaction

arXiv:2401.17486 (cs)
[Submitted on 30 Jan 2024]

Title:A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations

Authors:Glen Berman, Nitesh Goyal, Michael Madaio
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Abstract:Responsible design of AI systems is a shared goal across HCI and AI communities. Responsible AI (RAI) tools have been developed to support practitioners to identify, assess, and mitigate ethical issues during AI development. These tools take many forms (e.g., design playbooks, software toolkits, documentation protocols). However, research suggests that use of RAI tools is shaped by organizational contexts, raising questions about how effective such tools are in practice. To better understand how RAI tools are -- and might be -- evaluated, we conducted a qualitative analysis of 37 publications that discuss evaluations of RAI tools. We find that most evaluations focus on usability, while questions of tools' effectiveness in changing AI development are sidelined. While usability evaluations are an important approach to evaluate RAI tools, we draw on evaluation approaches from other fields to highlight developer- and community-level steps to support evaluations of RAI tools' effectiveness in shaping AI development practices and outcomes.
Comments: Accepted for publication in Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24), May 11--16, 2024, Honolulu, HI, USA
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:2401.17486 [cs.HC]
  (or arXiv:2401.17486v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2401.17486
Related DOI: https://doi.org/10.1145/3613904.3642398

Submission history

From: Glen Berman [view email]
[v1] Tue, 30 Jan 2024 22:44:18 UTC (232 KB)
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