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For Customer Insights Professionals

The Ethics Of AI: How To Avoid Harmful Bias And Discrimination

Build Machine Learning Models That Are Fundamentally Sound, Assessable, Inclusive, And Reversible

February 27, 2018

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Why Read This Report

While the potential existential threat of artificial intelligence is well publicized, the threat of biased machine learning models is much more immediate. Customer insights (CI) pros must learn how to identify and prevent harmful discrimination in their models, or businesses will suffer reputational, regulatory, and revenue consequences.

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Table of Contents

  • Biased Models Harm Your Customers, Your Brand, And Your Business
  • Data Determines Discrimination
  • Code The Change You Want To See In The World
  • What It Means

  • AI Will Push Ethics Into The Spotlight — For Firms And Society
  • Supplemental Material
  • Related Research Documents

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