Facial Recognition Technology: Potential Benefit and Harm in Relation to Privacy
2024 (English)Independent thesis Advanced level (degree of Master of Fine Arts (Two Years)), 80 credits / 120 HE credits
Student thesis
Abstract [en]
A thorough analysis of Facial Recognition Technology (FRT) with attention to potential implications for human rights violations. Focusing on the extensive debates in the European Parliament, evaluating FRT's pro et contra in the context of current legal European Union (EU) framework. The effect of FRT on the right to privacy is investigated, as well as its wider ramifications for other human rights that EU citizens are legally entitled to. Utilizing the approach of the Swedish argumentationsanalys (argumentative analysis) as the means to highlight the pro et contra of FRT, the method allows an organized evaluation of the technology’s overall consequences on the citizens of the EU.
The paper highlights the need of taking contextual norms into account as well as the necessity of consent and transparency in data collection, particularly in regard to the processing of biometric data. Even with FRT's potential to improve security and law enforcement, there are still a lot of ethical questions about its effectiveness, privacy invasion, algorithmic prejudice, and possible data exploitation.
Effort is made to address the need for strict controls and regulations to guarantee the moral and legal use of FRT. This is reflected in the primary materials coverage of European parliamentary members during the recent debates. It emphasizes the necessity of striking a balance between innovation and the upholding of fundamental rights, arguing in favour of steps to preserve individuals privacy, freedom, and democratic principles. The need of fostering legal clarity, trust with citizens, and accountability in the creation and use of FRT is underscored in the paper's conclusion in order to reduce possible hazards and preserve human rights standards in the digital era going forward.
Place, publisher, year, edition, pages
2024. , p. 46
Keywords [en]
Facial Recognition Technology, Contextual Integrity, Privacy, European Union, Right to Privacy, Mass Surveillance, Biometric Data Protection
National Category
Political Science (excluding Public Administration Studies and Globalisation Studies) Law and Society Computer Vision and Robotics (Autonomous Systems) Ethics
Identifiers
URN: urn:nbn:se:ths:diva-2530OAI: oai:DiVA.org:ths-2530DiVA, id: diva2:1889529
Subject / course
Human Rights
Educational program
Master’s Programme in Human Rights
Supervisors
Examiners
2024-08-262024-08-152024-08-26Bibliographically approved