Machine Learning Times
Machine Learning Times
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Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities
 Book Review of Closing the Analytics Talent Gap: An...
Guilty or Not Guilty: Weight of Evidence
 You have been invited to serve as a juror...
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
Diversity and Collaborative Problem Solving to Address Wicked Data Ethics Problems
 The complexity of the ethical issues facing professionals who...
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4 months ago
Ethical Machine Learning as a Wicked Problem

 In the 1950 and 1960s, social and behavioral sciences were at the cutting edge of innovation. Scientific techniques and quantitative analyses were being applied to some of the most pressing social problems. The thinking was “If NASA can put men in space, why can’t we use these techniques to solve the problems of housing discrimination and school desegregation?” Despite the investment, effort, and professionalization of these fields, the consensus was that they were failing. Why? In 1973 Horst Rittel, a mathematician and Professor in the Science of Design at UC Berkeley, and his colleague Melvin Weber introduced the

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