“I Would Like to Design”: Black Girls Analyzing and Ideating Fair and Accountable AI

要旨

Artificial intelligence (AI) literacy is especially important for those who may not be well-represented in technology design. We worked with ten Black girls in fifth and sixth grade from a predominantly Black school to understand their perceptions around fair and accountable AI and how they can have an empowered role in the creation of AI. Thematic analysis of discussions and activity artifacts from a summer camp and after-school session revealed a number of findings around how Black girls: perceive AI, primarily consider fairness as niceness and equality (but may need support considering other notions, such as equity), consider accountability, and envision a just future. We also discuss how the learners can be positioned as decision-making designers in creating AI technology, as well as how AI literacy learning experiences can be empowering.

受賞
Honorable Mention
著者
Jaemarie Solyst
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Shixian Xie
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Ellia Yang
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Angela E.B.. Stewart
University of Pittsburgh, Pittsburgh, Pennsylvania, United States
Motahhare Eslami
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Jessica Hammer
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Amy Ogan
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
論文URL

https://doi.org/10.1145/3544548.3581378

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Learning with and about AI

Hall B
6 件の発表
2023-04-26 18:00:00
2023-04-26 19:30:00