Gartner Research

Control Bias and Eliminate Blind Spots in Machine Learning and Artificial Intelligence

Published: 13 September 2018

ID: G00367120

Analyst(s): Darin Stewart

Summary

Machine bias is unavoidable; but it is manageable. By opening up the black boxes at the center of AI solutions, technical professionals can improve the quality and capability of their applications while also reducing risks to the enterprise.

Table Of Contents

Analysis

  • Machine Bias in Action: A Tale of Two Arrests
  • Managing Machine Bias With Measures of Fairness
  • Learning With Fairness Constraints
  • The Trouble With Training Data
  • Put More Weight on the Subject Than the Context
  • Inspect Training Data for Bias
  • Open the Black Box
  • Creating Centaurs
  • Finding the Right Balance
  • Strengths
  • Weaknesses

Guidance

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