Read the article Facing Bias in Facial Recognition Technology. https://www.theregreview.org/2021/03/20/saturday-seminar-facing-bias-in- facial-recognition- technology/#:~:text=According%20to%20the%20researchers%2C%20facial,part icularly%20vulnerable%20to%20algorithmic%20bias. Which of the following is FALSE? O O O O O All of these are false None of these is false Most facial recognition systems exhibit bias. Algorithms using U.S. law enforcement images falsely identified Native Americans more often than people from other demographics. Facial recognition technologies falsely identified Black faces 10 to 100 times more often than they did white faces but did better with Asian faces Facial recognition technologies falsely identified Black and Asian faces 10 to 100 times more often than they did white faces. Some facial recognition systems have been created using data that often reflects racial, gender, and other biases.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Read the article Facing Bias in Facial Recognition Technology.
https://www.theregreview.org/2021/03/20/saturday-seminar-facing-bias-in-
facial-recognition-
technology/#:~:text=According%20to%20the%20researchers%2C%20facial, part
icularly%20vulnerable%20to%20algorithmic%20bias.
Which of the following is FALSE?
O
O
O
O
O
All of these are false
None of these is false
Most facial recognition systems exhibit bias.
Algorithms using U.S. law enforcement images falsely identified Native
Americans more often than people from other demographics.
Facial recognition technologies falsely identified Black faces 10 to 100
times more often than they did white faces but did better with Asian
faces
Facial recognition technologies falsely identified Black and Asian faces
10 to 100 times more often than they did white faces.
Some facial recognition systems have been created using data that
often reflects racial, gender, and other biases.
Transcribed Image Text:Read the article Facing Bias in Facial Recognition Technology. https://www.theregreview.org/2021/03/20/saturday-seminar-facing-bias-in- facial-recognition- technology/#:~:text=According%20to%20the%20researchers%2C%20facial, part icularly%20vulnerable%20to%20algorithmic%20bias. Which of the following is FALSE? O O O O O All of these are false None of these is false Most facial recognition systems exhibit bias. Algorithms using U.S. law enforcement images falsely identified Native Americans more often than people from other demographics. Facial recognition technologies falsely identified Black faces 10 to 100 times more often than they did white faces but did better with Asian faces Facial recognition technologies falsely identified Black and Asian faces 10 to 100 times more often than they did white faces. Some facial recognition systems have been created using data that often reflects racial, gender, and other biases.
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