"Ethics is not neutral": Understanding Ethical and Responsible AI Design from the Lenses of Black Youth

要旨

The rise of generative AI has brought a host of challenges for historically marginalized groups, including increased surveillance, AI-mediated racism, and algorithmic inequity. While stakeholders emphasize ethical and responsible AI that is safe, anti-discriminatory, and "protects human dignity", the centrality of anti-Blackness in the design, development, and deployment of AI systems coupled with race-evasive approaches to defining and advancing ethical, equitable, and ‘human-centered’ technologies have exacerbated racial oppression. We present three case studies of speculative technologies designed by Black youth in a college bridge, summer course that examine ethical and responsible AI in their everyday lives. From a bottom-up approach, we infringe upon this broader discourse to provide an initial grounding of responsible and ethical AI as well as discuss the criticality of Black, historically anchored, culturally-situated lenses to offer justice-oriented design principles that can guide the teaching, learning, and design of technology.

著者
Tiera Tanksley
UCLA, Los Angeles , California, United States
Angela D. R. Smith
University of Texas at Austin, Austin, Texas, United States
Saloni Sharma
University of Texas at Austin, Austin, Texas, United States
Earl W. Huff
The University of Texas at Austin, Austin, Texas, United States
DOI

10.1145/3706598.3713510

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713510

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Critics on AI

G316+G317
7 件の発表
2025-04-29 20:10:00
2025-04-29 21:40:00
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