Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Explainable AI (XAI) plays a crucial role in enhancing transparency and providing rational explanations to support users of AI systems. Inclusive AI actively seeks to engage and represent individuals with diverse attributes who are affected by and contribute to the AI ecosystem. Both inclusion and XAI advocate for the active involvement of the users and stakeholders during the entire AI systems lifecycle. However, the relationship between XAI and Inclusive AI has not been explored. In this paper, We present the results of a systematic literature review with the objective to explore this relationship in the recent AI reserach literature. We were able to identify 18 research articles on the topic. Our analysis focused on exploring approaches to: (1) the humans attributes and perspectives, (2) preferred explanation methods, and (3) Human-AI interaction. Based on our findings, we identified potential future XAI research directions and proposed strategies for practitioners involved in the design and development of inclusive AI systems.
Recommended Citation
Girard, Amelie; Zowghi, Didar; Bano, Muneera; and Riziou, Marian-Andrei, "Inclusive and Explainable AI Systems: A Systematic Literature Review" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 3.
https://aisel.aisnet.org/hicss-57/da/xai/3
Inclusive and Explainable AI Systems: A Systematic Literature Review
Hilton Hawaiian Village, Honolulu, Hawaii
Explainable AI (XAI) plays a crucial role in enhancing transparency and providing rational explanations to support users of AI systems. Inclusive AI actively seeks to engage and represent individuals with diverse attributes who are affected by and contribute to the AI ecosystem. Both inclusion and XAI advocate for the active involvement of the users and stakeholders during the entire AI systems lifecycle. However, the relationship between XAI and Inclusive AI has not been explored. In this paper, We present the results of a systematic literature review with the objective to explore this relationship in the recent AI reserach literature. We were able to identify 18 research articles on the topic. Our analysis focused on exploring approaches to: (1) the humans attributes and perspectives, (2) preferred explanation methods, and (3) Human-AI interaction. Based on our findings, we identified potential future XAI research directions and proposed strategies for practitioners involved in the design and development of inclusive AI systems.
https://aisel.aisnet.org/hicss-57/da/xai/3