Abstract
This chapter identifies and analyzes ethical issues in video surveillance, with a
focus on applications that involve video analytics and facial recognition technology. The first part of the analysis focuses on ethical issues in video analytics, which are techniques that automatically analyze preexisting or gathered video data. Ethical issues are discussed in relation to processes of identification, classification, detection, and tracking of persons. Next, facial recognition technology is discussed, particularly its use in surveillance, and its ethical challenges are investigated. Finally, we focus on three advanced video analytics techniques: facial analysis, behavior analysis, and emotional analysis, which raise additional serious ethical issues.
focus on applications that involve video analytics and facial recognition technology. The first part of the analysis focuses on ethical issues in video analytics, which are techniques that automatically analyze preexisting or gathered video data. Ethical issues are discussed in relation to processes of identification, classification, detection, and tracking of persons. Next, facial recognition technology is discussed, particularly its use in surveillance, and its ethical challenges are investigated. Finally, we focus on three advanced video analytics techniques: facial analysis, behavior analysis, and emotional analysis, which raise additional serious ethical issues.
| Original language | English |
|---|---|
| Title of host publication | Ethics in the AI, Technology, and Information Age |
| Editors | Michael Boylan, Wanda Teays |
| Publisher | Rowman & Littlefield |
| Chapter | 17 |
| Pages | 217-231 |
| Number of pages | 15 |
| ISBN (Electronic) | 978-1-5381-6076-3 |
| ISBN (Print) | 978-1-5381-6074-9 , 978-1-5381-6075-6 |
| Publication status | Published - May 2022 |