ETHICAL IMPLICATIONS OF AI-DRIVEN SURVEILLANCE SYSTEMS

Authors

  • Ali A Professor, Department of Computer Science and Engineering Acropolis Institute of Technology & Research Indore

Keywords:

AI, surveillance, ethical, transparency, ethics

Abstract

The rapid proliferation of artificial intelligence (AI) technologies over the past decade has transformed many aspects of modern life, none more significantly than the realm of surveillance. AI-driven surveillance systems, powered by advanced machine learning algorithms, facial recognition, and real-time data analytics, promise unparalleled security capabilities. They have been adopted globally for purposes ranging from public safety and crime prevention to healthcare monitoring and traffic management. However, this technological advancement raises profound ethical questions regarding privacy, civil liberties, and the potential for misuse. As these systems become increasingly pervasive, it is imperative to critically examine their ethical implications and the responsibilities of both developers and regulators.

References

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. Whittaker, M., Alper, M., Bennett, C. L., Hendren, S., Kaziunas, L., Mills, M., ... & West, S. M. (2019). Disability, Bias, and AI. AI Now Institute.

. Crawford, K., & Paglen, T. (2019). Excavating AI: The politics of images in machine learning training sets. AI Now Institute.

. Raji, I. D., & Buolamwini, J. (2019). Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial AI products. In Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society (pp. 429-435).

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Published

2022-11-30

How to Cite

Ali, A. (2022). ETHICAL IMPLICATIONS OF AI-DRIVEN SURVEILLANCE SYSTEMS. COMPUSOFT: An International Journal of Advanced Computer Technology, 11, 5–7. Retrieved from https://ijact.in/index.php/j/article/view/619

Issue

Section

Editorial

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