Citation

Material Information

Title:
Data Science Symposium 2020 - Keynote I
Alternate Title:
Data Is People: Ethics and Education for Data Science
Creator:
Fiesler, Casey
Publication Date:

Notes

Abstract:
Big data has opened up new possibilities and transformed the ways we conduct research in nearly every discipline. However, ethical considerations and education for research has long focused on human subjects, governed in the U.S. by institutional review boards. Data science often falls through the cracks of these regulations, so it is even more imperative that we have strong ethical norms and guidelines. This starts with the reminder that though data scientists may not interact directly with people, the data collected and analyzed very often comes from people, which opens up important considerations around privacy, consent, and harm. Moreover, applications of data science research, particularly with respect to prediction, have the potential for large-scale societal impacts. In considering the broad landscape of technology ethics when it comes to uses and applications of big data, I will argue for a fundamental shift in how we teach ethics to future data scientists and researchers.

Record Information

Source Institution:
University of Colorado Denver
Holding Location:
Auraria Libary
Rights Management:
All rights reserved by the source institution.

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