Face Recognition Technologies Designing Systems That Protect Privacy and Prevent Bias
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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.
| Publisher Name | RAND Corporation |
|---|---|
| Author Name | Hagendorf, Col |
| Format | Audio |
| Bisac Subject Major | POL |
| Language | NG |
| Isbn 10 | 1977404553 |
| Isbn 13 | 9781977404558 |
| Target Age Group | min:NA, max:NA |
| Dimensions | 00.90" H x 00.06" L x 00.00" W |
| Page Count | 86 |
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