Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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
Are You Practicing “Bad Data Science” with your Pre-Hire Talent Assessments?

 Talent Analytics uses data gathered from our own proprietary talent assessments as an input variable to predict hiring success – pre-hire.  We treat this dataset just like any other dataset in our predictive work.  We are careful to analyze it for a strong (or weak) correlation to actual job performance. Our theory?  If there is no correlation between data gathered via this method our clients should stop using it.  Continuing without proof of success would be a little like a doctor “knowing” a certain medication doesn’t work for you, but continues to encourage their patients to keep using

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