Machine Learning Times
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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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6 years ago
Is What You Did Ethical? Helping Students in Computational Disciplines to Think About Ethics

 In addition to this article, Dr. Priestley will also present on this topic at Predictive Analytics World for Business in Las Vegas, May 31-June 4, 2020. For details about her session, “How Leading Enterprises Leverage Universities to Boost Analytical Innovation and Tap Talent”, click here. This is part 3 of a 5-part series on university/corporate partnerships in analytics and data science. In our second article, we discussed talent pipelines, alternative insights and community engagement as three common reasons why companies partner with universities in the context of analytics and data science. Here, we discuss the importance of integrating

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