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.

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

Section: Chapter Questions

Problem 1PE

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Question

Read the article Facing Bias in Facial Recognition Technology.

[Link](https://www.theregreview.org/2021/03/20/saturday-seminar-facing-bias-in-facial-recognition-technology/#:~:text=According%20to%20the%20researchers%2C%20facial%2Cparticularly%20vulnerable%20to%20algorithmic%20bias.)

Which of the following is FALSE?

- 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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