

Fifty years later: the significance of the Nuremberg Code. Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From? ACM FAT* 2020 Stuart Geiger, Kevin Yu, Yanlai Yang, Mindy Dai, Jie Qiu, Rebekah Tang, Jenny Huang.
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L., Burnap, P., Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users’ Views, Online Context and Algorithmic Estimation. In Proceedings of the 19th ACM conference on computer-supported cooperative work & social computing (pp.

Vitak, J., Shilton, K., Beyond the Belmont principles: Ethical challenges, practices, and beliefs in the online data research community.

The State and Fate of Linguistic Diversity and Inclusion in the NLP World. Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali, and Monojit Choudhur. “Participant” Perceptions of Twitter Research Ethics. Arxiv.Ĭasey Fiesler and Nicholas Proferes. Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford. Data statements for NLP: Toward mitigating system bias and enabling better science. Part II: 5:30-6:20 Where does the data come from? Participants, Labelers, and Data in NLPįurther Readings for Projects and BackgroundĮmily M. Part I: 4:30-5:20 Class Introduction and Overview The current list of papers is a superset, from which we will be selecting the required papers each week the rest are usefulįor helping come up with project ideas or literature surveys. On Zer, many hydrogen geysers can be found near lava lakes.Each week of this class focuses either on ways to avoid ethical or social problems in doing NLP research (I call these Red Weeks “(NLP Should) Do No Harm”) or on ways to apply NLP to help solve social or ethical problems (I call these Blue weeks “(NLP Should) Do Good”).
