Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Real-Time Machine Learning: Why It’s Vital and How to Do It
Organizations often miss the greatest opportunities that machine learning...
Liftoff: The Basics of Predictive Model Deployment
  This article is based on the transcript of...
Wise Practitioner – Predictive Analytics Interview Series: Markus Larsson at Palo Alto Research Center (PARC)
  (more…)
Wise Practitioner – Predictive Analytics Interview Series: Alexander Wu at Nauto
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Wicked Problem

Diversity and Collaborative Problem Solving to Address Wicked Data Ethics Problems

By: Sherrill W. Hayes, Executive Director of the Analytics and Data Science Institute and Professor of Conflict Management, Kennesaw State University

 The complexity of the ethical issues facing professionals who work in machine learning, data science, analytics, and related professions have all the hallmarks of a “wicked problem”.  Rittel and Weber, the researchers responsible for coining the term “wicked problems”, believed a more inclusive approach to problem-solving was especially important in diverse and pluralistic societies where

Ethical Machine Learning as a Wicked Problem

By: Sherril Hayes, Executive Director, Analytics and Data Science Institute and Professor of Conflict Management, Analytics & Data Science Institute, College of Computing and Software Engineering, Kennesaw State University

 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...

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