Project Abstract

The adoption of AI in facial recognition technology has brought about a new dimension to monitoring methods which in turn has raised concern about privacy and consent in societies where electronic surveillance is widespread. This project is the consequence of the urge to define and manage the balance between technical developments and individuals’ privacy rights, especially in view of the more and more general surveillance by the states.This study tries to examine the important role AI based surveillance systems play in terms of privacy using the high-surveillance states like China and UK as examples. Through analysing the place where technology and privacy converge, the work is offered a chance to contribute important ideas about the ethical implications and the proper regulation of the sophisticated surveillance systems.The study employs mixed-methods, among which are both qualitative case studies and quantitative privacy impact assessment. It focuses on the major AI algorithms applied in facial recognition, like Neural Networks and Convolutional Neural Networks, for comprehensive understanding of their development, functionalities and privacy impact.The expected outcomes include in depth issues on how facial recognition technology influences different types of privacy, from bodily to the communicational privacy. The research will achieve this through comparative case studies which will be used to pick out the effectiveness of the current legal frameworks in mitigating privacy issues while enhancing security.

Keywords: Facial Recognition with AI, Privacy, Ethics

 Conference Details

Session: Poster Session A at Poster Stand 13

Location: Sir Stanley Clarke Auditorium at Tuesday 7th 13:30 – 17:00

Markers: Megan Venn-Wycherley, Fabio Caraffini

Course: BSc Computer Science, 3rd Year

Future Plans: Other