Implementation of Facial Recognition (AI) and Its Impact on the Service Sector

Abstract

Facial-Recognition technology is gaining a widespread adoption in the service sector present across the world with its ability to secure the user information in an efficient manner. The considerable increase in the occurrence of cyber-crime incidents over the recent years increases the need to strengthen the protection mechanisms for ensuring the security of clients' information by the organizations in different sectors including service sector to gain trust from consumers. The proposed research study concentrates on analyzing the implementation of facial recognition and its impact on the service sector. Hospitality or healthcare service sectors need to handle a wide range of information from their clients as well as employees every day. Due to this, it often becomes highly difficult for them to monitor security of all the information and prevent unauthorized access. As a result, it has become critical for organizations in this sector to focus on implementing facial-recognition technology. With the reduced chances of encountering security concerns, this technology automates different functions for achieving an increased efficiency. The proposed study investigates the relevant research literature linked with this context to create the best possible discussion. Especially, during this pandemic, when everyone is concerned regarding their security and safety, automating the check-in, check-out or employee attendance procedures can aid in regaining the trust of consumers and employees in various service sectors. This develops significant research opportunities for achieving a huge competitive advantage for organizations. However, the security issues associated with this technology can cause organizations to face legal obligations. This study identifies these challenges and recommends the best ways to address the emerging challenges.