Face Recognition Technologies: Designing Systems that Protect Privacy and Prevent Bias

by Rebecca Balebako, Carlos Ignacio Gutierrez Gaviria, Douglas Yeung

Face recognition technologies (FRTs) have many practical security-related purposes, but advocacy groups and individuals have expressed apprehensions about their use. This report highlights the high-level privacy and bias implications of FRT systems. The authors propose a heuristic with two dimensions-consent status and comparison type-to help determine a proposed FRT's level of privacy and accuracy. They also identify privacy and bias concerns.

• Format: Paperback
• Language: English
• ISBN: 1977404553
• ISBN13: 9781977404558
• Release Date: June 2020
• Publisher: RAND Corporation
• Length: 86 Pages
• Weight: 0.28 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"