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OTHER SOURCES

Works Cited, Projects We Love, Additional Articles

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Works Cited

Projects We Love

Additional Articles

Adam, A. (1998). Artificial Knowing: Gender and the thinking machine. London: Routledge.

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Amaro, R. (n.d.). As if. _E-Flux_, Retrieved from https://www.e-flux.com/architecture/becoming-digital/248073/as-if/.

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Banet-Weiser, S. (2018). Empowered: Popular Feminism and Popular Misogyny. Durham: Duke University Press.

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Bivens, R. (2017) The gender binary will not be deprogrammed: Ten years of coding gender on Facebook. New Media & Society, 19(6): 880–898.

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Buolamwini, J. and Gebru, T. (2018).Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of Machine Learning Research. 81:1–15.

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Criado Perez, C. (2019). Invisible Women: Data Bias in a World Designed for Men. New York: Abrams Press.

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Edwards, P. (1990) The Army and the Microworld: Computers and the Politics of Gender Identity. Signs, 16(1): 102–127.

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Keyes, O. (2018). The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition. Retrieved from https://ironholds.org/resources/papers/agr_paper.pdf

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Leavy, S. (2018). Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning. 2018 ACM/IEEE 1st International Workshop on Gender Equality in Software Engineering.

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Mishra, V. and Srikumar, M. (2017). Predatory Data: Gender Bias in Artificial Intelligence, in Saran, S. (Ed.) Digital Debates: CyFy Journal 2017. New Delhi: Observer Research Foundation.

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Noble, S.U. (2018) Algorithms of Oppression: How Search Engines Reinforce Racism. New York: NYU Press.

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