Toward justice in computer science through community, criticality, and citizenship

Author:

Yadav Aman1,Heath Marie2,Hu Anne Drew1

Affiliation:

1. Michigan State University, East Lansing, MI

2. Loyola University Maryland, Baltimore, MD

Abstract

Proposing a justice-centered CS education.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference7 articles.

1. Buolamwini , J. and Gebru , T . Gender shades: Intersectional accuracy disparities in commercial gender classification . In Proceedings of Machine Learning Research. ( 2018 ). Buolamwini, J. and Gebru, T. Gender shades: Intersectional accuracy disparities in commercial gender classification. In Proceedings of Machine Learning Research. (2018).

2. Coeckelbergh M. AI Ethics. MIT Press 2021. Coeckelbergh M. AI Ethics. MIT Press 2021.

3. Design Justice

4. Fischer , F. Citizens , Experts, and the Environment : The Politics of Local Knowledge . Duke University Press , Durham, NC , 2020 . Fischer, F. Citizens, Experts, and the Environment: The Politics of Local Knowledge. Duke University Press, Durham, NC, 2020.

5. Hollett , T. , Phillips , N.C. , and Leander , K.M . Digital geographies. Handbook of Writing, Literacies, and Education in Digital Cultures . 2017 . Hollett, T., Phillips, N.C., and Leander, K.M. Digital geographies. Handbook of Writing, Literacies, and Education in Digital Cultures. 2017.

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