Privacy Risks and Ethical Challenges in Large-Scale AI-Powered Surveillance Systems and Mitigation Strategies for Ensuring User Anonymity and Data Protection
Keywords:
AI-powered surveillance, privacy risks, data security, anonymity, ethical challenges, mitigation strategiesAbstract
Artificial Intelligence (AI)-powered surveillance systems have revolutionized public security, crime prevention, and organizational monitoring. However, these systems also present significant privacy risks and ethical challenges, including mass data collection, potential breaches of anonymity, and biased algorithmic decisions. This paper discusses the major privacy concerns associated with large-scale AI-driven surveillance, ethical considerations, and proposed mitigation strategies to enhance user anonymity and data security. The findings suggest that regulatory frameworks, advanced encryption, federated learning, and differential privacy mechanisms can mitigate these risks while ensuring the effectiveness of AI-driven surveillance.
References
Bere, S., Bhagat, S. N., & Hanchate, B. Big Data Enabled Real-Time Crowd Surveillance and Threat Detection Using Artificial Intelligence and Deep Learning. ResearchGate, 2023.
Boch, A. Culture is “Tight” with Technology Adoption: Cultural and Governance Factors Involved in the Acceptance of AI-Powered Surveillance Technology. Technical University of Munich, 2021.
Ok, E., Grace, J., & John, M. Security and Privacy Challenges in AI Surveillance Systems. ResearchGate, 2023.
Marengo, A. The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection. ResearchGate, 2023.
Ikwuanusi, U. F., & Adepoju, P. A. Advancing Ethical AI Practices to Solve Data Privacy Issues in Library Systems. ResearchGate, 2023.
Daraf, U., & Badi, S. AI-Powered Genomic Analysis in the Cloud: Enhancing Precision Medicine While Protecting Medical Data Privacy. ResearchGate, 2023.
Rehan, H. AI-Powered Genomic Analysis in the Cloud: Enhancing Precision Medicine and Ensuring Data Security in Biomedical Research. ResearchGate, 2023.
Bibi, A., & Ahmad, N. AI-Powered Genomics and Cloud Computing: Advancing Precision Medicine and Ensuring Data Security in Biomedical Research. ResearchGate, 2023.
Ahmed, I., & Badi, S. The Future of AI-Powered Genomics: Enhancing Biomedical Research and Data Integrity with Cloud Technologies. ResearchGate, 2023.
Khan, S., & Hwang, S. O. Group Privacy: An Underrated but Worth Studying Research Problem in the Era of Artificial Intelligence and Big Data. MDPI, 2022.
Fontes, C., Hohma, E., Corrigan, C. C., & Lütge, C. AI-Powered Public Surveillance Systems: Why We (Might) Need Them and How We Want Them. ScienceDirect, 2022.
Xia, L., Semirumi, D. T., & Rezaei, R. A Thorough Examination of Smart City Applications: Exploring Challenges and Solutions Throughout the Life Cycle with Emphasis on Safeguarding Citizen Privacy. Elsevier, 2023.
Anidjar, L., & Packin, N. G. The Matrix of Privacy: Data Infrastructure in the AI-Powered Metaverse. SSRN, 2023.
Klossner, S. AI-Powered M-Health Apps Empowering Smart City Citizens to Live a Healthier Life – The Role of Trust and Privacy Concerns. Aalto University, 2022.
Madhavram, C., Boddapati, V. N., & Galla, E. P. AI-Powered Insights: Leveraging Machine Learning and Big Data for Advanced Genomic Research in Healthcare. SSRN, 2023.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
