“I Would Like to Design”: Black Girls Analyzing and Ideating Fair and Accountable AI-Reference-Cited by-同舟云学术

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

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Solyst Jaemarie¹^ORCID,Xie Shixian²^ORCID,Yang Ellia³^ORCID,Stewart Angela E.B.⁴^ORCID,Eslami Motahhare¹^ORCID,Hammer Jessica¹^ORCID,Ogan Amy¹^ORCID

Affiliation:

1. Human-Computer Interaction Institute, Carnegie Mellon University, United States

2. Integrated Innovation Institute, Carnegie Mellon University, United States

3. School of Computer Science, Carnegie Mellon University, United States

4. Department of Informatics and Networked Systems, Learning Research and Development Center, University of Pittsburgh, United States

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544548.3581378

Reference101 articles.

1. Safinah Ali , Blakeley H Payne , Randi Williams , Hae Won Park , and Cynthia Breazeal . 2019 . Constructionism, ethics, and creativity: Developing primary and middle school artificial intelligence education . In International workshop on education in artificial intelligence k-12 (eduai’19) . 1–4. Safinah Ali, Blakeley H Payne, Randi Williams, Hae Won Park, and Cynthia Breazeal. 2019. Constructionism, ethics, and creativity: Developing primary and middle school artificial intelligence education. In International workshop on education in artificial intelligence k-12 (eduai’19). 1–4.

2. Louise Amoore. 2020. Why ‘Ditch the algorithm’is the future of political protest. The Guardian 19(2020). Louise Amoore. 2020. Why ‘Ditch the algorithm’is the future of political protest. The Guardian 19(2020).

3. Auditing Race and Gender Discrimination in Online Housing Markets

4. Computer Science Teachers Association. 2017. CS Standards. Standards (2017). Computer Science Teachers Association. 2017. CS Standards. Standards (2017).

5. Joan Palmiter Bajorek . 2019. Voice recognition still has significant race and gender biases. Harvard Business Review 10 ( 2019 ). Joan Palmiter Bajorek. 2019. Voice recognition still has significant race and gender biases. Harvard Business Review 10 (2019).

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Potential of Diverse Youth as Stakeholders in Identifying and Mitigating Algorithmic Bias for a Future of Fairer AI;Proceedings of the ACM on Human-Computer Interaction;2023-09-28