Desmond Upton Patton
Abstract
Interactions' new UX Meets AI forum provides a space to engage with the challenges of designing for intelligent algorithmic experiences. We invite articles that tackle the tensions between research and practice when integrating AI and UX design. We welcome interdisciplinary debate, artful critique, forward-looking research, case studies of AI in practice, and speculative design explorations. --- Juho Kim and Henriette Cramer, Editors
References
- Epstein, G. Why AI needs more social workers, with Columbia University's Desmond Patton. TechCrunch. Aug. 9, 2019; https://techcrunch.com/2019/08/09/why-ai-needs-more-social-workers-with-columbia-universitys-desmond-patton/Google Scholar
- Adams, G. and Dillon, N. Google using dubious tactics to target people with 'darker skin' in facial recognition project: sources. New York Daily News. Oct. 2, 2019; https://www.nydailynews.com/news/national/ny-google-darker-skintones-facial-recognition-pixel-20191002-5vxpgowknffnvbmy5eg7epsf34-story.htmlGoogle Scholar
- Stern, C. How to solve homelessness with artificial intelligence. OZY. Apr. 21, 2019; https://www.ozy.com/rising-stars/how-to-solve-homelessness-with-artificial-intelligence/92033/Google Scholar
- West, S.M., Whittaker, M. and Crawford, K. Discriminating systems: Gender, race and power in AI. AI Now Institute, 2019; https://ainowinstitute.org/discriminatingsystems.htmlGoogle Scholar
- Blevins, T., Kwitakowski, R., Macbeth, J., McKeown, K., Patton, D., and Rambow, O. Automatically processing tweets from gang-involved youth: Towards detecting loss and aggression. Proc. of the 26th International Conference on Computational Linguistics: Technical Papers. COLING, 2016, 2196--2206.Google Scholar
- Chang, S., Zhong, R., Adams, E., Lee, F-Z., Varia, S., Patton, D., Frey, W., Kedzie, C., and McKeown, K. Detecting gang-involved escalation on social media using context. Proc. of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2018, 46--56.Google Scholar
- Zhong, R., Chen, Y., Patton, D., Sealous, C., and McKeown, K. Detecting and reducing bias in a high stakes domain. Proc. of the 2019 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2019, 4765--4775.Google Scholar
- Blandfort, P., Patton, D.U., Frey, W.R., Karaman, S., Bhargava, S., Lee, F-T., Varia, S., Kedzie, C., Gaskell, M.B., Schifanella, R., McKeown, K., and Chang, S-F. Multimodal social media analysis for gang violence prevention. Proc. of the International AAAI Conference on Web and Social Media 13, 01(2019), 114--124; https://arxiv.org/pdf/1807.08465.pdfGoogle Scholar
- Patton, D., Brunton, D., Dixon, A., Hackman, R., and Miller, R. Stop and frisk online: Theorizing everyday racism in digital policing in the use of social media for the identification of criminal conduct and associations. Social Media + Society 3 (2017). Google ScholarCross Ref
- Frey, W., Patton, D., Gaskell, M., and McGregor, K. Artificial intelligence and inclusion: Formerly gang-involved youth as domain experts for analyzing unstructured Twitter data. Social Science Computer Review 38, 1 (2018), 42--56.Google Scholar
Index Terms
Social work thinking for UX and AI design
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