The Transformation of Human Rights in the Age of Artificial Intelligence: Challenges, Adaptations and Policy Perspectives

Authors

DOI:

https://doi.org/10.51660/

Keywords:

Human rights, artificial intelligence, technology, digital ethics, regulation, privacy, justice, United Nations, Colombia

Abstract

Objective. This article examines the impact of artificial intelligence (AI) and the technological era on the protection of human rights, identifying the main challenges, opportunities, and regulatory adaptation needs necessary to safeguard fundamental rights in digital environments. Method. A qualitative approach is employed, based on documentary and comparative analysis. Historical sources (such as the 1956 Dartmouth Conference), international reports (especially from the United Nations), regulatory frameworks, and recent jurisprudence (such as the 2024 T-323 ruling of the Constitutional Court of Colombia) are reviewed. The study integrates theoretical, ethical, and legal perspectives, analyzing the evolution and adaptation of human rights in the face of technological transformation. Results. The research reveals that AI has radically transformed how fundamental rights—such as privacy, equality, freedom of expression, and access to justice—are exercised and protected. Risks associated with algorithmic opacity, automated discrimination, mass surveillance, and information manipulation are identified. At the same time, AI offers opportunities to optimize judicial and administrative processes, provided that ethical principles and procedural safeguards are respected. International regulatory frameworks, such as UN reports, and national jurisprudential developments, such as the Colombian case, show progress in regulatory adaptation but also highlight the need for new digital rights and control mechanisms. Conclusion. The digital era and artificial intelligence represent a structural transformation for human rights, requiring a dynamic and multidisciplinary adaptation of regulatory frameworks. It is essential to strengthen the protection of human dignity by updating existing rights, recognizing new digital rights, and implementing effective accountability mechanisms. The central challenge is to ensure that technology empowers people and does not deepen inequalities, ensuring that technological innovation always serves humanity and its fundamental rights. The recognition of digital space as a domain of human rights, promoted by the United Nations, underscores the urgency of this collective and collaborative task.

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Author Biography

  • Alberto Rojas Rios, Universidad Nacional Abierta y a Distancia

    .

References

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

Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679. https://doi.org/10.1177/2053951716679679

United Nations Human Rights Council. (2021). The right to privacy in the digital age (A/HRC/48/31). https://doi.org/10.1163/2210-7975_HRD-9970-2016147

Cath, C. (2018). Governing artificial intelligence: Ethical, legal and technical opportunities and challenges. Philosophical Transactions of the Royal Society A, 376(2133), 20180080. https://doi.org/10.1098/rsta.2018.0080

Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency, 149-159. https://doi.org/10.1145/3287560.3287598

Wachter, S., Mittelstadt, B., & Floridi, L. (2017). Transparent, explainable, and accountable AI for robotics. Science Robotics, 2(6), eaan6080. https://doi.org/10.1126/scirobotics.aan6080

Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1

O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown. https://doi.org/10.1080/01972243.2017.1295812

European Union Agency for Fundamental Rights. (2020). Getting the future right – Artificial intelligence and fundamental rights. https://doi.org/10.2811/774355

Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press. https://doi.org/10.2307/j.ctv1ghv45t

Smuha, N. A. (2021). Beyond a human rights-based approach to AI governance: Promise, pitfalls, plea. Philosophy & Technology, 34, 561–586. https://doi.org/10.1007/s13347-020-00403-w

Latonero, M. (2018). Governing artificial intelligence: Upholding human rights & dignity. Data & Society. https://doi.org/10.2139/ssrn.3265912

Susskind, J. (2021). Future Politics: Living Together in a World Transformed by Tech. Oxford University Press. https://doi.org/10.1093/oso/9780198825616.001.0001

Raso, F. A., Hilligoss, H., Krishnamurthy, V., & Dahan, M. (2018). Artificial Intelligence & Human Rights: Opportunities & Risks. Berkman Klein Center Research Publication No. 2018-6. https://doi.org/10.2139/ssrn.3287090

Taddeo, M., & Floridi, L. (2018). How AI can be a force for good. Science, 361(6404), 751-752. https://doi.org/10.1126/science.aat5991

United Nations. (2021). Roadmap for Digital Cooperation. https://doi.org/10.18356/9789210053675c007

Nemitz, P. (2018). Constitutional democracy and technology in the age of artificial intelligence. Philosophical Transactions of the Royal Society A, 376(2133), 20180089. https://doi.org/10.1098/rsta.2018.0089

Eubanks, V. (2018). Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. St. Martin’s Press. https://doi.org/10.1080/01972243.2018.1444231

European Commission. (2021). Proposal for a Regulation laying down harmonised rules on Artificial Intelligence (Artificial Intelligence Act). https://doi.org/10.2861/95850

Fjeld, J., Achten, N., Hilligoss, H., Nagy, A. C., & Srikumar, M. (2020). Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches. Berkman Klein Center. https://doi.org/10.2139/ssrn.3518482

Zuboff, S. (2019). The Age of Surveillance Capitalism. PublicAffairs. https://doi.org/10.1080/01972243.2019.1685035

Whittlestone, J., Nyrup, R., Alexandrova, A., Dihal, K., & Cave, S. (2019). The Role and Limits of Principles in AI Ethics: Towards a Focus on Tensions. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 195-200. https://doi.org/10.1145/3306618.3314289

AI Now Institute. (2018). AI Now Report 2018. https://doi.org/10.2139/ssrn.3378731

Veale, M., & Binns, R. (2017). Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data. Big Data & Society, 4(2), 2053951717743530. https://doi.org/10.1177/2053951717743530

United Nations General Assembly. (2021). The right to privacy in the digital age (A/RES/76/179). https://doi.org/10.1163/2210-7975_HRD-9970-2016147

Mittelstadt, B. D. (2019). Principles alone cannot guarantee ethical AI. Nature Machine Intelligence, 1(11), 501-507. https://doi.org/10.1038/s42256-019-0114-4

Binns, R., Veale, M., Van Kleek, M., & Shadbolt, N. (2018). Like trainer, like bot? Inheritance of bias in algorithmic content moderation. Proceedings of the International AAAI Conference on Web and Social Media, 12(1), 405-414. https://doi.org/10.1609/icwsm.v12i1.14993

Leslie, D. (2019). Understanding artificial intelligence ethics and safety. The Alan Turing Institute. https://doi.org/10.5281/zenodo.3240529

European Parliament. (2021). Artificial intelligence in criminal law and its use by the police and judicial authorities in criminal matters. https://doi.org/10.2861/95850

Dignum, V. (2019). Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way. Springer. https://doi.org/10.1007/978-3-030-30371-6

Wachter, S., & Mittelstadt, B. (2019). A right to reasonable inferences: Re-thinking data protection law in the age of Big Data and AI. Columbia Business Law Review, 2019(2), 494-620. https://doi.org/10.2139/ssrn.3248829

Tufekci, Z. (2015). Algorithmic harms beyond Facebook and Google: Emergent challenges of computational agency. Colorado Technology Law Journal, 13, 203. https://doi.org/10.2139/ssrn.2742317

United Nations. (2019). UN Guiding Principles on Business and Human Rights. https://doi.org/10.18356/9789210053675c007

Gasser, U., & Almeida, V. A. F. (2017). A layered model for AI governance. IEEE Internet Computing, 21(6), 58-62. https://doi.org/10.1109/MIC.2017.4180835

O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown. https://doi.org/10.1080/01972243.2017.1295812

Kroll, J. A., Huey, J., Barocas, S., Felten, E. W., Reidenberg, J. R., Robinson, D. G., & Yu, H. (2017). Accountable algorithms. University of Pennsylvania Law Review, 165(3), 633-706. https://doi.org/10.2139/ssrn.2765268

United Nations. (2021). Our Common Agenda – Report of the Secretary-General. https://doi.org/10.18356/9789210053675c007

Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., ... & Amodei, D. (2018). The malicious use of artificial intelligence: Forecasting, prevention, and mitigation. arXiv preprint arXiv:1802.07228. https://doi.org/10.48550/arXiv.1802.07228

Future of Humanity Institute. (2018). The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. https://doi.org/10.48550/arXiv.1802.07228

Cowls, J., & Floridi, L. (2018). Prolegomena to a white paper on an ethical framework for a good AI society. SSRN. https://doi.org/10.2139/ssrn.3198732

United Nations. (2019). The Age of Digital Interdependence. https://doi.org/10.18356/9789210053675c007

Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199678112.001.0001

Schmidhuber, J. (2015). Deep learning in neural networks: An overview. Neural Networks, 61, 85-117. https://doi.org/10.1016/j.neunet.2014.09.003

Latonero, M. (2019). Artificial Intelligence & Human Rights: Opportunities & Risks. Data & Society. https://doi.org/10.2139/ssrn.3265912

United Nations. (2021). Human Rights and Artificial Intelligence: An Urgent Need for a Rights-Respecting Approach. https://doi.org/10.18356/9789210053675c007

AI Now Institute. (2019). Discriminating Systems: Gender, Race, and Power in AI. https://doi.org/10.2139/ssrn.3378731

Human Rights Watch. (2019). China’s Algorithms of Repression. https://doi.org/10.1163/2210-7975_HRD-9970-2016147

Wachter, S., Mittelstadt, B., & Russell, C. (2018). Counterfactual explanations without opening the black box: Automated decisions and the GDPR. Harvard Journal of Law & Technology, 31(2), 841-887. https://doi.org/10.2139/ssrn.3063289

European Data Protection Supervisor. (2020). A Preliminary Opinion on data protection and scientific research. https://doi.org/10.2811/29447

United Nations. (2022). Human Rights in the Digital Age. https://doi.org/10.18356/9789210053675c007

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Published

2025-06-26

How to Cite

The Transformation of Human Rights in the Age of Artificial Intelligence: Challenges, Adaptations and Policy Perspectives. (2025). Revista Internacional Del Instituto De Pensamiento Liberal, 2(3), 9-17. https://doi.org/10.51660/

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