Ethical (Dis)Continuities: Lessons for Teaching Data Ethics from Engineering and Computing Ethics Education

​What can data ethics education learn from the history of teaching engineering and computer ethics? Or, perhaps more importantly, what should it learn? In this talk, Anna Lauren Hoffmann discusses some major themes in research and writing on engineering and computer ethics education and connects them to emerging discussions of how we ought to teach ethics in the context of data science education. Drawing on her NSF-supported report Teaching Data Ethics: Foundations and Possibilities from Engineering and Computer Science Ethics Education (co-authored with Katherine Alejandra Cross), she sketches some continuities between these applied ethical domains and suggests some critical points where data ethics education can—and should—depart from its precursors. 
 
Anna Lauren Hoffmann is an assistant professor at The Information School, University of Washington. Her research on data technologies, ethics, and justice has appeared in New Media & Society, Journal of the Association for Information Science and Technology, The Oxford Handbook of Philosophy of Technology, and Information, Communication, & Society. Recently, she was a Co-PI on the NSF-funded project Emerging Cultures of Data Science Ethics in the Academy and Industry (SES- 1835161). You can learn more about her work here.

Dr. Hoffmann will be joined by Dr. Jess Reia, Assistant Professor at the University of Virginia's School of Data Science. The webinar will be hosted by Dr. Caitlin Wylie, Assistant Professor of Science, Technology, and Society at the UVA's School of Engineering and Applied Sciences.

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