Abstract
It's dangerous, racializing, and has few legitimate uses; facial recognition needs regulation and control on par with nuclear waste.
- Clark, D. L. and Hobart, D. E. Reflections on the legacy of a legend: Glenn T. Seaborg 1912--1999. Los Alamos Science 26, {2000}, 5661.Google Scholar
- Stark, L and Hoffmann, A. L. Data is the new what? Popular metaphors & professional ethics in emerging data cultures. In Journal of Cultural Analytics Special Issue: Data Cultures, Culture as Data, {2019}.Google Scholar
- Hartzog, W. Facial recognition is the perfect tool for oppression. Medium. {August 2, 2018}; https://medium.com/s/story/facial-recognition-is-the-perfect-tool-for-oppression-bc2a08f0fe66Google Scholar
- Stark, L. Facial recognition, emotion and race in animated social media. First Monday. {September 3, 2018}; https://firstmonday.org/ojs/index.php/fm/article/view/9406/7572Google Scholar
- Browne, S. Dark Matters: on the Surveillance of Blackness. Duke University Press, Durham, 2015.Google Scholar
- Maldonado, M. M. It is their nature to do menial labour: The racialization of 'Latino/a workers' by agricultural employers. Ethnic and Racial Studies 32, 6 {2009}, 1017--36.Google ScholarCross Ref
- How not to talk about races and genetics. BuzzFeed News. {March 30, 2018}; https://www.buzzfeednews.com/article/bfopinion/race-genetics-david-reichGoogle Scholar
- Crenshaw, K. Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stanford Law Review 43, 6 {1991}, 1241--1299.Google ScholarCross Ref
- Foucault, M. 17 March 1976. In Security, Territory, Population. Picador, New York, 2009, 239--63.Google Scholar
- Mbembe, A. On the Postcolony. University of California Press, Berkeley, CA, 2001.Google Scholar
- Buolamwini, J., and Gebru, T. Gender shades: Intersectional accuracy disparities in commercial gender classification. In Proceedings of Machine Learning Research {PMLR'18}. PMLR, New York, 2018, 1--15.Google Scholar
- Buolamwini, J. Gender Shades: Intersectional Phenotypic and Demographic Evaluation of Face Datasets and Gender Classifiers. MIT. Master's thesis. 2017; https://www.media.mit.edu/publications/full-gender-shades-thesis-17/.Google Scholar
- Keyes, O., Stevens, N., and Wernimont, J. The government is using the most vulnerable people to test facial recognition software. Slate.com. {March 17, 2019}; https://slate.com/technology/2019/03/facial-recognition-nist-verification-testing-data-sets-children-immigrants-consent.htmlGoogle Scholar
- Lynch, J. Face off: Law enforcement use of face recognition technology. EFF. {February 12, 2018}; https://www.eff.org/wp/law-enforcement-use-face-recognitionGoogle Scholar
- Garvie, C., Bedoya, A. and Frankle, J. The perpetual line-Up: Unregulated police face recognition in America. Perpetual Line-up. {October 18, 2018}; https://www.perpetuallineup.org/Google Scholar
- AI Now. AI Now Report 2018; https://ainowinstitute.org/AI_Now_2018_Report.pdfGoogle Scholar
- Benthall, S. When shouldn't you build a machine learning system. Digifesto. {December 22, 2018}; https://digifesto.com/2018/12/22/when-shouldnt-you-build-a-machine-learning-system/Google Scholar
- Smith, B. Facial recognition technology: The need for public regulation and corporate responsibility. Microsoft On the Issues. {July 13, 2018}; https://blogs.microsoft.com/on-the-issues/2018/07/13/facial-recognition-technology-the-need-for-public-regulation-and-corporate-responsibility/Google Scholar
Index Terms
- Facial recognition is the plutonium of AI
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