Virtual On line
June 22, 2020
June 22, 2020
June 26, 2021
Engineering Ethics
15
10.18260/1-2--34589
https://peer.asee.org/34589
1728
Karen C. Davis is an Associate Professor in the Department of Computer Science and Software Engineering at Miami University. Her research interests include database design, query processing and optimization, data warehousing, and computing education. She has published more than 50 papers, most of which are co-authored with her students. She has advised over 100 senior design project students and more than 40 MS/PhD theses/projects in the area of database systems. She was awarded the ASEE Sharon Keillor Award for Women in Engineering Education in 2016. Dr. Davis received a B.S. degree in Computer Science from Loyola University, New Orleans in 1985 and an M.S. and Ph.D. in Computer Science from the University of Louisiana, Lafayette in 1987 and 1990, respectively.
There is a growing recognition of the importance of ethics education in data science programs. Recent news stories about data breaches and algorithmic biases indicate that big data projects raise ethical concerns with the potential to inflict harm on a wide societal or global scale. Several collaborative, multi-disciplinary reports from academia and professional organizations have proposed curricular recommendations for data science programs. The necessity of including a study of ethics is present in these reports, although the depth of coverage varies. In this paper, we give an overview of how ethics for data science is covered in reports created by educational organizations, a summary of codes of ethics for practitioners of data science, and a brief overview of approaches for teaching ethics in data science.
Davis, K. C. (2020, June), Ethics in Data Science Education Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--34589
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