THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENSURING PRIVACY IN THE USE OF DIGITAL SURVEILLANCE TOOLS
DOI:
https://doi.org/10.47390/hum-i5v2y2026/n03Keywords:
artificial intelligence, digital surveillance, personal privacy, facial recognition, behavioral analytics, federated learning, differential privacy, ethical AIAbstract
This article presents a comprehensive analysis of the application of modern artificial intelligence (AI) technologies in digital surveillance systems and their impact on personal privacy. It is demonstrated that facial recognition, behavioral analytics, predictive surveillance, and multimodal biometric identification technologies, while enhancing security, simultaneously pose serious threats to data confidentiality. The paper analyses Federated Learning, Differential Privacy, and Secure Multi-Party Computation (SMPC) technologies, scientifically substantiating pathways for integrating Privacy-Preserving AI architecture into surveillance systems.
References
1. Deng J., Guo J., Xue N., Zafeiriou S. ArcFace: Additive angular margin loss for deep face recognition // Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2019. P. 4690–4699.
2. Buolamwini J., Gebru T. Gender Shades: Intersectional accuracy disparities in commercial gender classification // Proceedings of the 1st Conference on Fairness, Accountability, and Transparency. 2018. P. 77–91.
3. Haley P. The impact of biometric surveillance on reducing violent crime: Strategies for apprehending criminals while protecting the innocent // Sensors. 2025. № 25. P. 3160.
4. Sanlı M. Privacy-preserving AI for distributed IoT in urban sustainability networks // Arabian Journal for Science and Engineering. 2025. https://doi.org/10.1007/s13369-025-10864-w
5. Shenoy D., Bhat R., Krishna Prakasha K. Exploring privacy mechanisms and metrics in federated learning // Artificial Intelligence Review. 2025. № 58. P. 223.
6. Roberts A. et al. Surveillance and the law in six African countries // Social Sciences. 2021. № 15. P. 155.
7. Rawas S., Samala N. Federated learning and differential privacy for medical IoT applications // Discover Networks. 2025. № 1(8)
