Building Data Science Solutions with Anaconda by Dan Meador

Author:Dan Meador
Language: eng
Format: epub
Publisher: Packt Publishing Pvt Ltd
Published: 2022-04-29T00:00:00+00:00

Discrimination in AI/ML

Discrimination is when certain unprivileged groups are put at a further unfavorable disadvantage based on the outcome of a model's output. This includes, but isn't limited to, race, age, sex, religion, or sexual orientation.

Discrimination itself doesn't always mean there must be intentional malicious intent. Take seatbelts in the US, for example. If you look at the test dummies used to collect the data points, you'll find that they represent a typical male in the US. As you might think, the test data does not account for the physical differences in women. That can play a large part in women being 47% more likely to be injured and 17% more likely to die in car crashes.

More information can be found here: https://bbc.in/3pAqDhJ.

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