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AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
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9 years ago
Wise Practitioner – Predictive Analytics Interview Series: Lauren Haynes at The University of Chicago

 In anticipation of her upcoming conference presentation, Data Science for Social Good: How Predictive Analytics Can Help Governments and Non-Profits, at Predictive Analytics World for Business Chicago, June 19-22, 2017, we asked Lauren Haynes, Senior Project Manager at Center for Data Science and Public Policy at The University of Chicago, a few questions about her work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: We work at the intersection of public policy and predictive analytics – at DSaPP we work in healthcare, social services, governments, non-profits, education, transparency, economic

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