Surveillance from the Third Millennium
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Abstract
What will our surveillant futures look like? This piece prods at this nebulous question by taking an exaggerated look at what would happen if we continued down the pathways to a hyper-datafied society that valued optimisation and quickness above all else.
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References
Benjamin, Ruha. 2019. Race After Technology: Abolitionist Tools for the New Jim Code. Cambridge, UK: Polity Press.
Browne, Simone. 2015. Dark Matters: On the Surveillance of Blackness. Durham, NC: Duke University Press.
Mbembe, Achille. 2013. Necropolitics. Public Culture 15 (1): 11–40.
Ogasawara, Midori. 2019. Mainstreaming Colonial Experiences in Surveillance Studies. Surveillance & Society 17 (5): 726–729.
Raval, Noopur. 2019. An Agenda for Decolonizing Data Science. Spheres: Journal for Digital Cultures 5: 1–6.
Semel, Beth. 2020. The Body Audible: From Vocal Biomarkers to a Phrenology of the Throat. Somatosphere (blog), September 21. http://somatosphere.net/2020/the-body-audible.html/ [accessed October 10, 2021].
Thompson, E. P. 1967. Time, Work-Discipline, and Industrial Capitalism. Past & Present 38: 56–97.
Wajcman, Judy. 2019. How Silicon Valley Sets Time. New Media & Society 21 (6): 1272–1289.
Whittaker, Meredith, Meryl Alper, Olin College, Liz Kaziunas, and Meredith Ringel Morris. 2019. Disability, Bias, and AI. AI Now Institute at NYU. https://ainowinstitute.org/disabilitybiasai-2019.pdf