Machine Learning Times
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Jev AI Will Make You Money – But Exactly How Much?
  Originally published in Forbes As I covered recently, Jev...
Jev Fever: Predictive AI Is Superhot Again
  Originally published in Forbes The more AI changes, the...
GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
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6 years ago
Diversity and Collaborative Problem Solving to Address Wicked Data Ethics Problems

 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 one cannot assume that individuals or even sub-groups of individuals will share “virtues and values” that may emanate from shared cultural backgrounds. Research on group decision making shows that the more diverse teams are more successful. Teams that include both individuals with inherent

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