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Bondi, E., Xu, L., Acosta-Navas, D., & Killian, J. A. (2021, July). Envisioning communities: a participatory approach towards AI for social good. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (pp. 425-436).
Bondi, Elizabeth, et al. "Envisioning communities: a participatory approach towards AI for social good." Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. 2021.
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E Bondi, L Xu, D Acosta-Navas, JA Killian - Proceedings of the 2021 …, 2021 - dl.acm.org

Envisioning communities: a participatory approach towards AI for social good.

Computer and Information Science and Engineering Minority-Serving Institutions Research Expansion Program AND Program Evaluation

Bondi, Killian, Xu

GSID: 2dwyuHeCcgUJ

Excerpt

Research in artificial intelligence (AI) for social good presupposes some definition of social good, but potential definitions have been seldom suggested and never agreed upon. The normative question of what AI for social good research should be" for" is not thoughtfully elaborated, or is frequently addressed with a utilitarian outlook that prioritizes the needs of the majority over those who have been historically marginalized, brushing aside realities of injustice and inequity. We argue that AI for social good ought to be assessed by the …

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