Ethical and Legal Challenges of AI-Based Surveillance in  National Security Operations

CHIRANJEEVI KUNAPARAJU

Ethical and Legal Challenges of AI-Based Surveillance in National Security Operations

Authors

CHIRANJEEVI KUNAPARAJU

Keywords:

Artificial intelligence, AI-based surveillance, national security, privacy and data protection, algorithmic accountability, human rights, biometric identification, surveillance governance

Abstract

The rapid integration of artificial intelligence into national security surveillance systems hastransformed intelligence gathering, threat detection, and risk assessment practices. AIbasedsurveillance technologies, including biometric identification, predictive analytics, and large-scaledata fusion, offer enhanced operational efficiency but simultaneously intensify concerns related to privacy, discrimination, transparency, and democratic accountability

References

AI, N. (2023). Artificial intelligence risk management framework (AI RMF 1.0). URL: https://nvlpubs. nist. gov/nistpubs/ai/nist. ai, 100-1.

Brayne, S. (2017). Big data surveillance: The case of policing. American sociological review, 82(5), 977-1008.

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Published

2024-12-20

How to Cite

CHIRANJEEVI KUNAPARAJU. (2024). Ethical and Legal Challenges of AI-Based Surveillance in National Security Operations . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8602–8625. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5362