Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights
Author | : Brittany Eastman |
Publisher | : SAE International |
Total Pages | : 26 |
Release | : 2022-07-28 |
ISBN-13 | : 9781468604894 |
ISBN-10 | : 1468604899 |
Rating | : 4/5 (99 Downloads) |
Download or read book Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights written by Brittany Eastman and published by SAE International. This book was released on 2022-07-28 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: Facial recognition software (FRS) is a form of biometric security that detects a face, analyzes it, converts it to data, and then matches it with images in a database. This technology is currently being used in vehicles for safety and convenience features, such as detecting driver fatigue, ensuring ride share drivers are wearing a face covering, or unlocking the vehicle. Public transportation hubs can also use FRS to identify missing persons, intercept domestic terrorism, deter theft, and achieve other security initiatives. However, biometric data is sensitive and there are numerous remaining questions about how to implement and regulate FRS in a way that maximizes its safety and security potential while simultaneously ensuring individual’s right to privacy, data security, and technology-based equality. Legal Issues Facing Automated Vehicles, Facial Recognition, and Individual Rights seeks to highlight the benefits of using FRS in public and private transportation technology and addresses some of the legitimate concerns regarding its use by private corporations and government entities, including law enforcement, in public transportation hubs and traffic stops. Constitutional questions, including First, Forth, and Ninth Amendment issues, also remain unanswered. FRS is now a permanent part of transportation technology and society; with meaningful legislation and conscious engineering, it can make future transportation safer and more convenient. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2022016