Code of Ethics for Facial Recognition

Abstract

Facial Recognition is a big part of surveillance and security in recent years. Along with any technology there are ethical issues that need to be considered when designing, creating, and using the system. This paper reviews the literature and their codes of ethics and ethical issues surrounding facial recognition to draw conclusions about the most important principles. Issues discussed include bias, collection of data, transparency, vulnerable population, security, and accountability. With these conclusions a code of ethics is introduced to improve or justify the current literature. Elaborations are made on each principle to justify the issue and inform specific ways to make the system ethical. This new code of ethics is then used to analyse the ethics around facial recognition in schools.