Bias in machine learning

HireView is a startup that claims to speed up the process of interviewing job candidates. A candidate submits a video answering interview questions and HireView analyzes the video with a machine learning algorithm.

The algorithm scores the candidate on various aspects of their personality, such as "willingness to learn" and "personal stability". HireView engineers trained the algorithm on a data set of past videos that were scored by employers and psychologists.

In a test of the algorithm, HireView engineers discover that the algorithm always gives lower scores to people who speak more slowly.

What is the most likely explanation for the algorithm's bias?

(Choice A)
HireView engineers added rules to the algorithm based on their own preferences for fast speech over slow speech.
(Choice B)
The video scoring algorithm was trained on a data set that was too small.
(Choice C)
The algorithm was trained on data where videos with slower speech were scored lower, due to the bias of the scorers.
(Choice D)
An engineer at HireView accidentally introduced a bug into the algorithm that caused it to score slow speech lower.

AP®︎/College Computer Science Principles

Course: AP®︎/College Computer Science Principles > Unit 5

Problem