Face recognition technologies : designing systems that protect privacy and prevent bias / Douglas Yeung, Rebecca Balebako, Carlos Ignacio Gutierrez, Michael Chaykowsky.

Format:

Book

Author/Creator:

Yeung, Douglas, author.

Balebako, Rebecca, author.

Gutierrez, Carlos Ignacio, author.

Chavkowsky, Michael, author.

Contributor:

Rand Corporation.

Language:

English

Subjects (All):

Human face recognition (Computer science).

Privacy, Right of.

Physical-appearance-based bias--Prevention.

Physical-appearance-based bias.

Physical Description:

xviii, 67 pages ; 23 cm

Place of Publication:

Santa Monica, Calif. : RAND Corporation, [2020]

Summary:

The objective of face recognition technologies (FRTs) is to efficiently detect and recognize people captured on camera. Although these technologies have many practical security-related purposes, advocacy groups and individuals have expressed apprehensions about their use. The research reported here was intended to highlight for policymakers the high-level privacy and bias implications of FRT systems. In the report, the authors describe privacy as a person's ability to control information about them. Undesirable bias consists of the inaccurate representation of a group of people based on characteristics, such as demographic attributes. Informed by a literature review, the authors propose a heuristic with two dimensions: consent status (with or without consent) and comparison type (one-to-one or some-to-many). This heuristic can help determine a proposed FRT's level of privacy and accuracy. The authors then use more in-depth case studies to identify "red flags" that could indicate privacy and bias concerns: complex FRTs with unexpected or secondary use of personal or identifying information; use cases in which the subject does not consent to image capture; lack of accessible redress when errors occur in image matching; the use of poor training data that can perpetuate human bias; and human interpretation of results that can introduce bias and require additional storage of full-face images or video. This report is based on an exploratory project and is not intended to comprehensively introduce privacy, bias, or FRTs. Future work in this area could include examinations of existing systems, reviews of their accuracy rates, and surveys of people's expectations of privacy in government use of FRTs.

Contents:

Machine generated contents note: ch. One Introduction

Objectives and Approach

Scope and Limitations

Organization of This Report

ch. Two Background On Face Recognition Technology: A Primer

A Heuristic to Determine Trade-Offs in Accuracy and Privacy of Face Recognition Technologies

Privacy and Privacy-Enhancing Technologies

Bias in Face Recognition

Summary

ch. Three Selected Face Recognition Technology Policies In The United States

Schools

Law Enforcement

Private Sector

National Security

ch. Four Face Recognition Technologies In Action: Two Use Cases

Use Case 1 Border Control Passport Authentication

Use Case 2 Face-in-a-Crowd Airport Surveillance

ch. Five Study Overview And Areas For Future Research

Study Overview

Areas for Future Research.

Notes:

Includes bibliographical references (pages 53-67).

ISBN:

1977404553

9781977404558

OCLC:

1156625558

Publisher Number:

99987451178