Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article

Facial recognition is the plutonium of AI

Published: 10 April 2019 Publication History

Abstract

It's dangerous, racializing, and has few legitimate uses; facial recognition needs regulation and control on par with nuclear waste.

References

[1]
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.
[2]
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}.
[3]
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-bc2a08f0fe66
[4]
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/9406/7572
[5]
Browne, S. Dark Matters: on the Surveillance of Blackness. Duke University Press, Durham, 2015.
[6]
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.
[7]
How not to talk about races and genetics. BuzzFeed News. {March 30, 2018}; https://www.buzzfeednews.com/article/bfopinion/race-genetics-david-reich
[8]
Crenshaw, K. Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stanford Law Review 43, 6 {1991}, 1241--1299.
[9]
Foucault, M. 17 March 1976. In Security, Territory, Population. Picador, New York, 2009, 239--63.
[10]
Mbembe, A. On the Postcolony. University of California Press, Berkeley, CA, 2001.
[11]
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.
[12]
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/.
[13]
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.html
[14]
Lynch, J. Face off: Law enforcement use of face recognition technology. EFF. {February 12, 2018}; https://www.eff.org/wp/law-enforcement-use-face-recognition
[15]
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/
[16]
AI Now. AI Now Report 2018; https://ainowinstitute.org/AI_Now_2018_Report.pdf
[17]
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/
[18]
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/

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image XRDS: Crossroads, The ACM Magazine for Students
XRDS: Crossroads, The ACM Magazine for Students  Volume 25, Issue 3
AI and Interpretation
Spring 2019
62 pages
ISSN:1528-4972
EISSN:1528-4980
DOI:10.1145/3325198
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 April 2019
Published in XRDS Volume 25, Issue 3

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article
  • Popular
  • Refereed

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)534
  • Downloads (Last 6 weeks)71
Reflects downloads up to 13 Jan 2025

Other Metrics

Citations

Cited By

View all

View Options

Login options

Full Access

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Digital Edition

View this article in digital edition.

Digital Edition

Magazine Site

View this article on the magazine site (external)

Magazine Site

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media