Artificial Intelligence and Human Rights in the Era of Digital Governance: Exploring Promises and Challenges
https://doi.org/10.56225/ijassh.v4i2.401
Keywords:
Artificial Intelligence, Human Rights, Algorithmic Bias, ; Digital Ethics, Data ProtectionAbstract
Artificial intelligence (AI) is rapidly transforming political, economic, and social systems, raising profound implications for human rights. While AI offers opportunities to enhance equality, access to justice, and public service delivery, it simultaneously poses risks, including mass surveillance, algorithmic bias, privacy violations, and gaps in accountability. Despite growing attention to these issues, existing research has largely focused on either the technological capabilities of AI or its ethical challenges, leaving a gap in comprehensive analyses that integrate AI’s impact on human rights within governance frameworks. This study aims to examine the dual effects of AI on fundamental rights, exploring both its potential to promote social equity and its capacity to exacerbate vulnerabilities. Using a qualitative methodology, the research draws on case studies, policy analyses, and reviews of ethical and legal frameworks to evaluate AI’s influence on healthcare, education, governance, and access to justice. The study also critically assesses regulatory and governance mechanisms designed to mitigate AI-related risks. The findings highlight that while AI can improve service delivery, empower marginalized communities, and foster more inclusive governance, unregulated deployment can deepen inequality, legitimize discrimination, and erode civil liberties. Ethical gaps, transparency deficits, and weak accountability structures continue to be key challenges. The study concludes that realizing AI’s potential to advance human rights requires robust governance frameworks, international cooperation, ethical design principles, and ongoing monitoring. Policymakers, engineers, and human rights advocates must collaborate to ensure that AI serves as a tool for social progress rather than a source of harm, striking a balance between innovation and the protection of dignity, equity, and justice.
Downloads
References
Anderson, J., Rainie, L., & Luchsinger, A. (2018). Artificial intelligence and the future of humans. Pew Research Center: Internet, Science & Tech. Retrieved from https://www.pewresearch.org/internet/2018/12/10/artificial-intelligence-and-the-future-of-humans/
Altholz, R., & Brown, D. (2020). Artificial intelligence and human rights fact-finding. Human Rights Quarterly, 42(3), 526–554.
Amnesty International. (2021). Algorithmic accountability: Applying human rights standards to AI governance.
Ashley, K. D. (2017). Artificial intelligence and legal analytics: New tools for law practice in the digital age. Cambridge University Press.
Balkin, J. M. (2020). The free speech century: Technology, law, and the future of expression. Harvard University Press.
Bakiner, O. (2023). The promises and challenges of addressing artificial intelligence with human rights. Big Data & Society, 10(2), 20539517231205476.
Bannister, F., & Connolly, R. (2020). The future ain’t what it used to be: Artificial intelligence and public sector ethics. Government Information Quarterly, 37(4), 101-410.
Bryson, J. (2022). The standard model of governance for AI. Science and Engineering Ethics, 28(2), 17. https://doi.org/10.1007/s11948-022-00381-2
Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of Machine Learning Research, 81, 1–15.
Cihon, P., Maas, M. M., & Kemp, L. (2021). Should artificial intelligence governance be centralised? Science and Public Policy, 48(5), 635–648.
Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press.
Duggal, N. (2023). Advantages and Disadvantages of Artificial Intelligence [AI]. simplilearn. August, 24, 2023.
Ertel, W. (2024). Introduction to artificial intelligence. Springer Nature.
Esteva, A., et al. (2019). A guide to deep learning in healthcare. Nature Medicine, 25(1), 24–29.
Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin’s Press.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
Floridi, L., et al. (2018). AI4People—An ethical framework for a good AI society. Minds and Machines, 28(4), 689–707.
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280.
Gillespie, T. (2018). Custodians of the internet: Platforms, content moderation, and the hidden decisions that shape social media. Yale University Press.
Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
Meijer, A., Wessels, M., & van der Voort, H. (2021). Algorithmic governance and public values: Balancing transparency, accountability, and efficiency. Public Administration Review, 81(5), 941–951.
Moyn, S. (2018). Not enough: Human rights in an unequal world. Harvard University Press.
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. NYU Press.
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.
Pasquale, F. (2015). The black box society: The secret algorithms that control money and information. Harvard University Press.
Quintavalla, A., & Temperman, J. (2023). Artificial intelligence and human rights. Oxford University Press.
Rajagopal, S., Popat, K., Meva, D., & Bajeja, S. (Eds.). (2024). Advancements in Smart Computing and Information Security: Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part III (Vol. 2039). Springer Nature.
Remus, D., & Levy, F. (2016). Can robots be lawyers? Computers, lawyers, and the practice of law. Georgetown Journal of Legal Ethics, 30(3), 501–558.
Russell, S. (2019). Human compatible: Artificial intelligence and the problem of control. Viking.
Selbst, A. D., & Barocas, S. (2018). The intuitive appeal of explainable machines. Fordham Law Review, 87(3), 1085–1139.
Su, Anna. (2022). The Promise and Perils of International Human Rights Law for AI Governance. Law, Technology and Humans, 4(2), 166-182. https://doi.org/10.5204/lthj.2332
Susskind, D. (2020). A world without work: Technology, automation, and how we should respond. Metropolitan Books.
Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human
UNESCO (2021). Recommendation on the ethics of artificial intelligence. United Nations Educational, Scientific and Cultural Organization.
United Nations. (2023). Human rights, AI and digital technology: A global framework for cooperation.
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Authors

This work is licensed under a Creative Commons Attribution 4.0 International License.






















