Report · Page 210

210
Center for Research on Foundation Models (CRFM)
Laurel Westbrook and Aliya Saperstein. 2015. New Categories Are Not Enough: Rethinking the Measurement of Sex
and Gender in Social Surveys. Gender & Society 29, 4 (2015), 534–560.
https://doi.org/10.1177/0891243215584758
arXiv:https://doi.org/10.1177/0891243215584758
Hannes Westermann, Vern R Walker, Kevin D Ashley, and Karim Benyekhlef. 2019. Using factors to predict and analyze
landlord-tenant decisions to increase access to justice. In Proceedings of the Seventeenth International Conference on
Artificial Intelligence and Law. 133–142.
Jason Weston, Sumit Chopra, and Antoine Bordes. 2014. Memory networks. arXiv preprint arXiv:1410.3916 (2014).
Michelle Whirl-Carrillo, Ellen M McDonagh, JM Hebert, Li Gong, K Sangkuhl, CF Thorn, Russ B Altman, and Teri E Klein.
2012. Pharmacogenomics knowledge for personalized medicine. Clinical Pharmacology & Therapeutics 92, 4 (2012),
414–417.
Jenna Wiens, Suchi Saria, Mark Sendak, Marzyeh Ghassemi, Vincent X Liu, Finale Doshi-Velez, Kenneth Jung, Katherine
Heller, David Kale, Mohammed Saeed, et al. 2019. Do no harm: a roadmap for responsible machine learning for health
care. Nature medicine 25, 9 (2019), 1337–1340.
Bernard Williams. 1973. In Utilitarianism: For and Against, J.C. Smart and Bernard Williams (Eds.). Cambridge University
Press, 82–118.
Monnica T. Williams. 2020. Psychology cannot afford to ignore the many harms caused by microaggressions. Perspectives
on Psychological Science 15, 1 (2020), 38–43.
Angelica Willis, Glenn Davis, Sherry Ruan, Lakshmi Manoharan, James Landay, and Emma Brunskill. 2019. Key Phrase
Extraction for Generating Educational Question-Answer Pairs. In Proceedings of the Sixth (2019) ACM Conference on
Learning @ Scale (Chicago, IL, USA) (L@S ’19). Association for Computing Machinery, New York, NY, USA, Article 20,
10 pages. https://doi.org/10.1145/3330430.3333636
Benjamin Wilson, Judy Hoffman, and Jamie Morgenstern. 2019.
Predictive Inequity in Object Detection. (2019).
https://arxiv.org/pdf/1902.11097.pdf.
Christo Wilson, Avijit Ghosh, Shan Jiang, Alan Mislove, Lewis Baker, Janelle Szary, Kelly Trindel, and Frida Polli. 2021.
Building and Auditing Fair Algorithms: A Case Study in Candidate Screening. In Proceedings of the Conference on Fairness,
Accountability, and Transparency (FAccT 2021). Virtual Event, Canada.
Julia K. Winkler, Christine Fink, Ferdinand Toberer, Alexander Enk, Teresa Deinlein, Rainer Hofmann-Wellenhof, Luc
Thomas, Aimilios Lallas, Andreas Blum, Wilhelm Stolz, and Holger A. Haenssle. 2019. Association Between Surgical Skin
Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for
Melanoma Recognition. JAMA Dermatology 155, 10 (10 2019), 1135–1141. https://doi.org/10.1001/jamadermatol.2019.1735
arXiv:https://jamanetwork.com/journals/jamadermatology/articlepdf/2740808/jamadermatology_winkler_2019_oi_190038.pdf
Langdon Winner. 1980. Do Artifacts Have Politics? Daedalus 109, 1 (1980), 121–136. http://www.jstor.org/stable/20024652
Publisher: The MIT Press.
L. Wittgenstein. 1953. Philosophical Investigations. Blackwell, Oxford.
Thomas Wolf, Julien Chaumond, Lysandre Debut, Victor Sanh, Clement Delangue, Anthony Moi, Pierric Cistac, Morgan
Funtowicz, Joe Davison, Sam Shleifer, et al. 2020. Transformers: State-of-the-Art Natural Language Processing. In
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstra