Guidelines for integrating value sensitive design in responsible AI toolkits
File(s)3613904.3642810.pdf (15.5 MB)
Published version
Author(s)
Sadek, malak
Constantinides, Marios
Quercia, Daniele
Mougenot, Celine
Type
Conference Paper
Abstract
Value Sensitive Design (VSD) is a framework for integrating human values throughout the technology design process. In parallel, Responsible AI (RAI) advocates for the development of systems aligning with ethical values, such as fairness and transparency. In this study, we posit that a VSD approach is not only compatible, but also advantageous to the development of RAI toolkits. To empirically assess this hypothesis, we conducted four workshops involving 17 early-career AI researchers. Our aim was to establish links between VSD and RAI values while examining how existing
toolkits incorporate VSD principles in their design. Our findings show that collaborative and educational design features within these toolkits, including illustrative examples and open-ended cues, facilitate an understanding of human and ethical values, and empower researchers to incorporate values into AI systems. Drawing on these insights, we formulated six design guidelines for integrating VSD values into the development of RAI toolkits.
toolkits incorporate VSD principles in their design. Our findings show that collaborative and educational design features within these toolkits, including illustrative examples and open-ended cues, facilitate an understanding of human and ethical values, and empower researchers to incorporate values into AI systems. Drawing on these insights, we formulated six design guidelines for integrating VSD values into the development of RAI toolkits.
Date Issued
2024-05
Date Acceptance
2024-01-19
Citation
Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24), 2024
ISBN
9798400703300
Publisher
ACM
Journal / Book Title
Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24)
Copyright Statement
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
This work is licensed under a Creative Commons Attribution International 4.0 License.
License URL
Identifier
https://dl.acm.org/doi/10.1145/3613904.3642810
Source
CHI 2024
Publication Status
Published
Start Date
2024-05-11
Finish Date
2024-05-16
Coverage Spatial
Honolulu, HI, USA
Date Publish Online
2024-05-11