Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...
Data Analytics in Higher Education
 Universities confront many of the same marketing challenges as...
How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...
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4 years 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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