H. V. Jagadish

 

 


 

H. V. Jagadish is Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science at the University of Michigan, and Distinguished Scientist at the Michigan Institute for Data Science. He is a Fellow of the ACM, serves on the Board of Directors of the Computing Research Association, and has previously served as a Trustee of the Very Large Database Endowment. He is winner of the 2013 Contributions Award from the ACM Special Interest Group on Management of Data (SIGMOD).




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Sep 20th 2016

Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making. As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work.

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