Digital Surveillance and Human Dignity (Ḥifẓ al-ʿIrḍ): An Islamic Ethical Appraisal with Reflections from Nigeria

The rapid expansion of digital surveillance technologies -including CCTV systems, biometric identification, mobile data tracking and social media monitoring- has transformed public and private spaces across the globe. In Nigeria, these technologies are increasingly deployed for security, governance and commercial purposes, often with limited ethical oversight. This article offers an Islamic ethical appraisal of contemporary digital surveillance through the lens of ḥifẓ al-ʿirḍ (protection of human dignity and reputation), a core objective of Islamic law. Drawing on Qurʾānic principles, Prophetic practice, maqāṣid al-sharīʿah theory and classical juristic discussions on privacy, suspicion and moral exposure, the study examines the moral boundaries of surveillance in relation to dignity, consent, proportionality and harm prevention. The article adopts a normative-contextual methodology, combining Islamic ethical reasoning with reflections from Nigeria’s expanding surveillance landscape, including public CCTV usage, biometric governance systems and digital monitoring practices. It argues that while Islam does not reject surveillance categorically, it imposes strict ethical constraints to prevent dignity erosion, reputational harm and unjustified intrusion. By foregrounding ḥifẓ al-ʿirḍ as an underexplored maqṣad in digital ethics, the article contributes to contemporary Islamic moral discourse and offers a principled framework for evaluating surveillance practices in Muslim societies.

Digital surveillance; Ḥifẓ al-ʿIrḍ; Maqāṣid al-Sharīʿah; Islamic digital ethics; Nigeria Data Protection.

1. Abdul Rahman, M. F., Rofiah, N., & Nurbaiti. (2025). Islamic bioethics construction. Journal of Comprehensive Science, 4(3). https://www.researchgate.net/publication/390593246_Islamic_Bioethics_Construction [Google Scholar] [Crossref]

2. Alakitan, M., & Makinde, E. (2025). Where are the ethical guidelines? Examining the governance of digital technologies and AI in Nigeria. Policy & Internet, 17, Article e416. https://doi.org/10.1002/poi3.416 [Google Scholar] [Crossref]

3. Al-Shāṭibī, I. I. (1997). Al-Muwāfaqāt fī uṣūl al-sharīʿah (M.-U. Faruqi, Trans., Vols. 1-3). Islamic Texts Society. https://www.islamictextssociety.org/product/al-muwaffaqat/ [Google Scholar] [Crossref]

4. Auda, J. (2008). Maqasid al-shariah as philosophy of Islamic law: A systems approach. International Institute of Islamic Thought. https://iiit.org/en/book/maqasid-al-shariah-as-philosophy-of-islamic-law-a systems-approach/ [Google Scholar] [Crossref]

5. Auda, J. (2021). The maqasid methodology: A guide for the researcher in the research network. Journal of Contemporary Maqasid Studies, 1(1), 1-30. https://doi.org/10.52100/jcms.v1i1.59 [Google Scholar] [Crossref]

6. Cook, M. (2001). Commanding right and forbidding wrong in Islamic thought. Cambridge University Press. https://doi.org/10.1017/CBO9780511496364 [Google Scholar] [Crossref]

7. Donoghue, R. (2025). Freedom under algorithms: How unpredictable and asocial management erodes free choice. Frontiers in Artificial Intelligence, 8, 1582085. https://doi.org/10.3389/frai.2025.1582085 [Google Scholar] [Crossref]

8. Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Morley, J., et al. (2018). AI4People -An ethical framework for a good AI society. Minds and Machines, 28(4), 689-707. https://doi.org/10.1007/s11023-018-9482-5 [Google Scholar] [Crossref]

9. Goldschmitt, M., Gleim, P., Mandelartz, S., Kellmeyer, P., & Rigotti, T. (2025). Digitalizing informed consent in healthcare: A scoping review. BMC Health Services Research, 25, Article 893. https://doi.org/10.1186/s12913-025-12964-7 [Google Scholar] [Crossref]

10. Greenleaf, G. (2022). Global data privacy laws 2022. Privacy Laws & Business International Report. https://www.privacylaws.com/Publications/Global-Data-Privacy-Laws.aspx [Google Scholar] [Crossref]

11. Hallaq, W. B. (2009). An introduction to Islamic law. Cambridge University Press. https://www.cambridge.org/core/books/introduction-to-islamic law/3F1B6A89A66E7F5E64D4A8B1B2B55F45 [Google Scholar] [Crossref]

12. Hashmi, S. H. (2022). Islamic ethics and artificial intelligence. Journal of Religious Ethics. https://doi.org/10.1111/jore.12412 [Google Scholar] [Crossref]

13. Ibn Taymiyyah. (2008). Al-siyāsah al-sharʿiyyah fī iṣlāḥ al-rāʿī wa-al-raʿīyah [Public policy in reforming the ruler and the ruled]. Dār ʿĀlam al-Fawāʾid lil-Nashr wa-al-Tawzīʿ. https://openlibrary.org/works/OL325949W/ [Google Scholar] [Crossref]

14. Kamali, M. H. (2008). Shariʿah law: An introduction. Oneworld Publications. https://oneworld-publications.com/work/shariah-law/ [Google Scholar] [Crossref]

15. Kamali, M. H. (2002). Principles of Islamic jurisprudence (3rd ed.). Cambridge University Press. https://www.cambridge.org/core/books/principles-of-islamic [Google Scholar] [Crossref]

16. Kamali, M. H. (2019). The middle path of moderation in Islam. Oxford University Press. https://global.oup.com/academic/product/the-middle-path-of-moderation-in-islam-9780190941217 [Google Scholar] [Crossref]

17. Kamali, M. H. (2023). Maqasid al-shariah and sustainable development: Foundation for a universal paradigm. Journal of Islamic Studies, 15(2), 89-102. Retrieved from https://mjsl.usim.edu.my/index.php/jurnalmjsl/article/view/798 [Google Scholar] [Crossref]

18. Kamarinou, D., Millard, C., & Singh, J. (2023). Algorithmic transparency and accountability: A data protection perspective. Information & Communications Technology Law, 32(1), 22-47. https://doi.org/10.1080/13600834.2022.2125440 [Google Scholar] [Crossref]

19. Kuner, C., Svantesson, D. J. B., Cate, F. H., Millard, C., & Lynskey, O. (2024). Harmonizing data protection: Foundations of modern privacy governance. International Data Privacy Law, 14(1), 4-18. https://doi.org/10.1093/idpl/ipad021 [Google Scholar] [Crossref]

20. Lyon, D. (2007). Surveillance studies: An overview. Polity Press. https://politybooks.com/bookdetail/?isbn=9780745635929 [Google Scholar] [Crossref]

21. Lyon, D. (2018). The culture of surveillance: Watching as a way of life. Polity Press. https://politybooks.com/bookdetail/?isbn=9780745699358 [Google Scholar] [Crossref]

22. Lyon, D. (2024). Surveillance: A very short introduction. Oxford University Press. https://books.google.com/books/about/Surveillance.html?id=2V0QEQAAQBAJ [Google Scholar] [Crossref]

23. McGregor, L., Murray, D., & Ng, V. (2019). International human rights law as a framework for algorithmic accountability. International & Comparative Law Quarterly, 68(2), 309-343. https://doi.org/10.1017/S0020589319000046 [Google Scholar] [Crossref]

24. Mittelstadt, B. D. (2019). Principles alone cannot guarantee ethical AI. Ethics and Information Technology, 21(1), 1-10. https://doi.org/10.1007/s10676-019-09502-2 [Google Scholar] [Crossref]

25. Narayanan, A., & Vallor, S. (2023). Ethics of algorithms and the digital society. Annual Review of Political Science, 26, 185-205. https://doi.org/10.1146/annurev-polisci-051120-104443 [Google Scholar] [Crossref]

26. National Information Technology Development Agency. (2019). Nigeria data protection regulation (NDPR). https://nitda.gov.ng/regulations-and-guidelines/ [Google Scholar] [Crossref]

27. Nigeria Data Protection Act 2023. (2023). https://ndpc.gov.ng/ [Google Scholar] [Crossref]

28. Nissenbaum, H. (2010). Privacy in context: Technology, policy, and the integrity of social life. Stanford University Press. https://www.sup.org/books/title/?id=8864 [Google Scholar] [Crossref]

29. Olawade, D. B., David-Olawade, A. C., Gore, M. N., & Wada, O. Z. (2025). Perceptions and challenges of artificial intelligence adoption in Nigerian public healthcare: Insights from consultant doctors. Clinical Epidemiology and Global Health, 29, 101735. https://doi.org/10.1016/j.cegh.2025.101735 [Google Scholar] [Crossref]

30. Rahman, F. (2015). Islam (2nd ed.). University of Chicago Press. https://press.uchicago.edu/ucp/books/book/chicago/I/bo3622687.html [Google Scholar] [Crossref]

31. Raji, I. D., Smart, A., White, R. N., Mitchell, M., & Gebru, T. (2020). Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing. In Proceedings of the 2020 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’20) (pp. 33-44). Association for Computing Machinery. https://doi.org/10.1145/3351095.3372873 [Google Scholar] [Crossref]

32. Record of Law. (2025). The legal and ethical challenges of digital consent in the era of surveillance capitalism. https://recordoflaw.in/the-legal-and-ethical-challenges-of-digital-consent-in-the-era-of-surveillance-capitalism/ [Google Scholar] [Crossref]

33. Singler, S., & Babalola, O. (2024). Digital colonialism beyond surveillance capitalism? Coloniality of knowledge in Nigeria’s emerging privacy rights legislation and border surveillance practices. Social & Legal Studies, 34(5), 673-694. https://doi.org/10.1177/09646639241287022 [Google Scholar] [Crossref]

34. Smith, P., & Kumar, R. (2023). Geopolitical surveillance and digital sovereignty. Journal of Global Security Studies, 8(2), 204-224. https://doi.org/10.1093/jogss/ogac046 [Google Scholar] [Crossref]

35. THISDAYLIVE. (2025, August 19). Ethical problems in AI and digital legislation in Nigeria (Part 4). https://www.thisdaylive.com/2025/08/19/ethical-problems-in-ai-and-digital-legislation-in-nigeria-part-4/ [Google Scholar] [Crossref]

36. Wang, X., Wu, Y. C., & Zhou, M. (2024). Beyond surveillance: Privacy, ethics, and regulations in face recognition technology. Frontiers in Big Data, 7, 1337465. https://doi.org/10.3389/fdata.2024.1337465 [Google Scholar] [Crossref]

37. Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs. https://doi.org/10.2307/j.ctvnjbh1c [Google Scholar] [Crossref]

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