Authors : Stella Nandhakumar

Volume/Issue : Volume 11 - 2026, Issue 9 - September

Google Scholar : https://tinyurl.com/5epcekk4

DOI : https://doi.org/10.38124/ijisrt/26sep573

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : In the rapidly evolving age of artificial intelligence (AI) and big data, algorithmic systems increasingly govern everyday life, like predicting, influencing, and manipulating behavior across digital platforms, legal enforcement, and democratic participation. These systems are no longer limited to specialized technological environments; they increasingly participate in decisions and processes that affect how individuals communicate, access services, interact with institutions, and understand their own choices. The expansion of data-driven decision-making therefore raises questions that extend beyond technical efficiency and legal compliance. This paper explores the philosophical, political, and ethical dimensions of algorithmic surveillance and argues that privacy must be reframed as a moral and existential imperative rather than a merely legal right. Using a qualitative and comparative methodology, it analyzes AI governance and surveillance models in the United States, European Union, China, and India. The comparison highlights different approaches to innovation, accountability, state power, and individual rights. The paper further considers the implications of surveillance for autonomy, equality, democracy, and human dignity. Findings indicate that algorithmic surveillance is an ethical crisis demanding transparency, accountability, meaningful human oversight, and the reaffirmation of human dignity in smart societies. The paper concludes that responsible AI governance requires not only rules governing data and algorithms but also institutional arrangements that enable citizens to understand, question, and challenge automated forms of control.

Keywords : Privacy; Algorithmic Surveillance; Artificial intelligence; Human Dignity; Transparency.

References :

1. Deleuze, G. (1992). Postscript on the societies of control. October, 59, 3–7.
2. Dhir, A., & Verma, S. (2024). India’s Digital Personal Data Protection Act, 2023: Promise and implementation gaps. [Author-year citation as used in the source paper — please verify exact journal/publisher details before final submission.]
3. Du, Y. (2025). Algorithmic governance and the reconfiguration of autonomy. [Author-year citation as used in the source paper — please verify exact journal/publisher details before final submission.]
4. European Data Protection Board. (2024). Annual report 2024. https://www.edpb.europa.eu
5. European Union. (2024). Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act).
6. Foucault, M. (1977). Discipline and punish: The birth of the prison (A. Sheridan, Trans.). Pantheon Books.
7. Freedom House. (2024). Freedom on the net 2024: The struggle for trust online. https://freedomhouse.org/report/freedom-net/2024
8. Harari, Y. N. (2018). Homo Deus: A brief history of tomorrow. Harper Perennial.
9. Kaya-Kasikci, N. et al. (2025). Institutionalizing ethical AI oversight: Transparency and digital literacy. [Author-year citation as used in the source paper — please verify exact journal/publisher details before final submission.]
10. Mahapatra, S. (2025). Reframing privacy as a moral right in the age of algorithmic governance. [Author-year citation as used in the source paper — please verify exact journal/publisher details before final submission.]
11. NASSCOM. (2024). Data privacy awareness in India: Annual survey findings. National Association of Software and Service Companies.
12. OECD. (2023). OECD AI principles. OECD Publishing. https://oecd.ai/en/ai-principles
13. OECD. (2024). OECD AI policy observatory. https://oecd.ai
14. People’s Republic of China. (2021). Data Security Law of the People’s Republic of China.
15. Pew Research Center. (2023, October 18). How Americans view data privacy. https://www.pewresearch.org/internet/2023/10/18/how-americans-view-data-privacy/
16. Republic of India. (2023). The Digital Personal Data Protection Act, 2023.
17. Sharma, R., & Sharma, S. (2025). Comparative philosophies of AI governance: A cross-national analysis. [Author-year citation as used in the source paper — please verify exact journal/publisher details before final submission.]
18. UNESCO. (2021). Recommendation on the ethics of artificial intelligence. United Nations Educational, Scientific and Cultural Organization.
19. Wang, L., & Xie, Y. (2025). Rights-based accountability under the EU AI Act. [Author-year citation as used in the source paper — please verify exact journal/publisher details before final submission.]
20. White House Office of Science and Technology Policy. (2022). Blueprint for an AI Bill of Rights: Making automated systems work for the American people.
21. World Economic Forum. (2024). Global distrust in AI transparency: Survey findings.
22. Zhao, X. (2025). China’s state-centric model of AI governance and social control. [Author-year citation as used in the source paper — please verify exact journal/publisher details before final submission.]
23. Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.