Data science practitioners play a unique role in today’s society: They are responsible for the acquisition, acceleration, and amplification of data at a level never seen before. Every process in daily life is affected by the decisions of data scientists. Yet data scientists might not realize who they are affecting and how lives can be upended by applications.
How can we be certain that the results of a predictive model based on big data are ethical? What can be done to improve security and fairness? Should we require demonstration of predictive model accuracy before individual lives are involved?
Join us for this virtual discussion as lawyer and epidemiologist
M. Elizabeth Karns examines these questions in light of emerging issues such as predictive performance and safety in schools, use of facial recognition and fraud detection, and the development of data citizenship for everyone.
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