Each entry contains summarizing information about the reading. Entries may also contain notable quotes and thoughts on its relationship to my own research.
You can filter the readings by type or theme by using the buttons below. Readings are in alphabetical order by author last name.
Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science
Emily M. Bender and Batya Friedman. 2018. Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science. Transactions of the Association for Computational Linguistics 6: 587–604. https://doi.org/10.1162/tacl_a_00041
Tags: Methods, Transparency
Ruha Benjamin. 2019. Race After Technology: Abolitionist Tools for the New Jim Code. John Wiley & Sons. ISBN: 978-1-509-52643-7
Tags: Empirical, Inequity, Identity
Alan Borning and Michael Muller. 2012. Next steps for value sensitive design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’12). Association for Computing Machinery, New York, NY, USA, 1125–1134. DOI: https://doi.org/10.1145/2207676.2208560
Tags: Methods, Critique