To create less harmful technologies and ignite positive social change, AI engineers need to enlist ideas and expertise from a broad range of social science disciplines, including those embracing qualitative methods, say Mona Sloane and Emanuel Moss.
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References
- 1.
Eubanks, V. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (St Martin’s, 2018).
- 2.
Noble, S. U. Algorithms of Oppression: How Search Engines Reinforce Racism (New York Univ. Press, 2018).
- 3.
Buolamwini, J. & Gebru, T. Proc. Mach. Learn. Res. 81, 77–91 (2018).
- 4.
Wilson, B., Hoffman, J. & Morgenstern, J. Preprint at https://arxiv.org/abs/1902.11097 (2019).
- 5.
Bolukbasi, T., Chang, K.-W., Zou, J., Saligrama, V. & Kalai, A. Preprint https://arxiv.org/abs/1606.06121 (2016).
- 6.
Keyes, O. in Proc. ACM on Human-Computer Interaction 2, 88 (ACM, 2018).
- 7.
Amodei, D. et al. Preprint at https://arxiv.org/abs/1606.06565 (2016).
- 8.
Greene, D., Hoffmann, A. L. & Stark, L. in Proc. 52nd Hawaii International Conference on System Sciences 2122–2131 (HICSS, 2019).
- 9.
Sloane, M. in Proc. Weizenbaum Conference 2019 ‘Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life’ https://doi.org/10.34669/wi.cp/2.9 (2019).
- 10.
Metcalf, J., Moss, E. & boyd, d. Soc. Res. 86, 449–476 (2019).
- 11.
Awad, E. et al. Nature 563, 59–64 (2018).
- 12.
Irving, G. & Askell, A. Distill https://doi.org/10.23915/distill.00014 (2019).
- 13.
Katz, Y. Preprint at https://doi.org/10.2139/ssrn.3078224 (2017).
- 14.
Stark, L. Soc. Stud. Sci. 48, 204–231 (2018).
- 15.
boyd, d. & Crawford, K. Inform. Commun. Soc. 15, 662–679 (2012).
- 16.
Elish, M. C. & boyd, d Commun. Monogr. 85, 57–80 (2017).
- 17.
Benthall, S. & Haynes, B. D. in Proc. ACM Fairness, Accountability, and Transparency Conference (FAT*) 289–298 (ACM, 2019).
- 18.
Bowker, G. C. & Star, S. L. Sorting Things Out: Classification and Its Consequences (MIT Press, 2000).
- 19.
Benjamin, R. Race After Technology: Abolitionist Tools for the New Jim Code (Polity Books, 2019).
- 20.
Stark, L. XRDS Crossroads 25, 50–55 (Spring, 2019).
- 21.
Daniels, J., Nkonde, M. & Mir, D. Advancing Racial Literacy in Tech: Why Ethics, Diversity in Hiring and Implicit Bias Trainings Aren’t Enough (Data & Society’s Fellowship Program, 2019).
- 22.
Wagner, C., Garcia, D., Jadidi, M. & Strohmaier, M. in The International AAAI Conference on Web and Social Media 454–463 (AAAI, 2015).
- 23.
Richardson, R., Schultz, J. & Crawford, K. NYU Law Rev. 94, 192–233 (2019).
- 24.
Metcalf, J. et al. Medium https://medium.com/pervade-team/the-study-has-been-approved-by-the-irb-gayface-ai-research-hype-and-the-pervasive-data-ethics-ed76171b882c (2017).
- 25.
Back, L. The Art of Listening (Berg, 2007).
- 26.
Nature 562, 7 (2018).
- 27.
Howard, D. & Irani, L. in Proc. 2019 CHI Conference on Human Factors in Computing Systems 97 (ACM, 2019).
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Sloane, M., Moss, E. AI’s social sciences deficit. Nat Mach Intell 1, 330–331 (2019). https://doi.org/10.1038/s42256-019-0084-6
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