An Intelligence in our Image: The Risk of Bias and Errors in Artificial Intelligence
"Machine learning algorithms and artificial intelligence systems
influence many aspects of people's lives: news articles, movies to
watch, people to spend time with, access to credit, and even the
investment of capital. Algorithms have been empowered to make such
decisions and take actions for the sake of efficiency and speed. Despite
these gains, there are concerns about the rapid automation of jobs
(even such jobs as journalism and radiology). A better understanding of
attitudes toward and interactions with algorithms is essential precisely
because of the aura of objectivity and infallibility cultures tend to
ascribe to them. This report illustrates some of the shortcomings of
algorithmic decisionmaking, identifies key themes around the problem of
algorithmic errors and bias, and examines some approaches for combating
these problems. This report highlights the added risks and complexities
inherent in the use of algorithmic decisionmaking in public policy. The
report ends with a survey of approaches for combating these problems."
View the Report
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