Save or Share this Report

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

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.

Get Access

Already a Client?

Log in to read this document.

Become a Forrester Client

Customers are the new market-makers, reshaping industries and changing how businesses compete and win. Success depends on how well and how fast you respond. Forrester Research gives you insights and frameworks aligned to your role to shorten the time between a great idea and a great outcome, helping your teams win in the age of the customer. Contact us to learn more.

Purchase Report

This report is available for individual purchase ($499 USD).

Purchase

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

Recommended Research