Imagine that the goal of a project is to detect people at work. The model has been fed to thousands of training data where men are coding and women are cooking. The algorithm is likely to learn that coders are men and women are chefs, which is wrong since women can code and men can cook. This situation is an example of Prejudice Bias.  Select one: True False

Management, Loose-Leaf Version
13th Edition
ISBN:9781305969308
Author:Richard L. Daft
Publisher:Richard L. Daft
Chapter19: Managing Quality And Performance
Section: Chapter Questions
Problem 1SGB: Create a Group Control System Step 1. From into groups of three to five students. Each group will...
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Imagine that the goal of a project is to detect people at work. The model has been fed to thousands of training data where men are coding and women are cooking. The algorithm is likely to learn that coders are men and women are chefs, which is wrong since women can code and men can cook. This situation is an example of Prejudice Bias. 

Select one:
True
False
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