Implikasi Artificial Intelligence terhadap Hak Asasi Manusia serta Kerangka Penanaman Prinsip-Prinsip HAM dalam Siklus Hidup AI Berdasarkan Hukum Internasional

Main Article Content

Ayu Riska Amalia
Diva Pitaloka
Syamsul Mujtahidin

Abstract


Artificial Intelligence (AI) represents a transformative leap in science and technology that redefines how humans work, interact, and make decisions. Despite its contributions to efficiency and innovation across sectors such as health, education, and governance, AI also generates systemic risks to privacy, equality, non-discrimination, freedom of expression, and the right to work. These challenges expose a normative gap between technological development and the existing international human rights framework. Drawing from key human rights instruments such as the Universal Declaration of Human Rights (UDHR), International Covenant on Civil and Political Rights (ICCPR), and International Covenant on Economic, Social and Cultural Rights (ICESCR), as well as global AI governance frameworks including the UNESCO Recommendation on the Ethics of Artificial Intelligence (2021), OECD AI Principles (2019), and EU AI Act (2024), this article formulates a human rights based governance framework for embedding human rights principles throughout the AI lifecycle. It identifies six intersecting principles that must guide each stage of the AI lifecycle: human dignity, legality, necessity and proportionality, equality and non-discrimination, privacy and data protection, transparency and explainability, and meaningful human oversight with accountability and remedy. The study argues that a human rights by design approach, integrating these principles from conception to deployment, is essential to ensure that AI systems remain lawful, fair, and transparent. Finally, the article emphasizes the urgency for states, particularly Indonesia, to harmonize national AI governance with international standards to safeguard human dignity while fostering innovation.


Article Details

How to Cite
Amalia, Ayu Riska, Diva Pitaloka, and Syamsul Mujtahidin. 2025. “Implikasi Artificial Intelligence Terhadap Hak Asasi Manusia Serta Kerangka Penanaman Prinsip-Prinsip HAM Dalam Siklus Hidup AI Berdasarkan Hukum Internasional”. JATISWARA 40 (3):408-27. https://doi.org/10.29303/jtsw.v40i3.1280.
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References

Acemoglu, Daron, and Pascual Restrepo. “Robots and Jobs: Evidence from US Labor Markets.” Journal of Political Economy 128, no. 6 (2020): 2188–2244. https://doi.org/10.1086/705716.

AIMultiple. “Top 18 Predictions from Experts on AI Job Loss.” AIMultiple Research, updated September 2, 2025. Accessed September 7, 2025. https://research.aimultiple.com/ai-job-loss/#:~:text=World%20Economic%20Forum%20,2023.

Article 19. Content Moderation Handbook. March 2024. https://www.article19.org/wp-content/uploads/2024/03/BAHASA-Final-SM4P-Content-moderation-handbook-7-Aug-ID-translated-revised-022924_YHM.pdf.

ArtSmart AI. “AI in Social Media Statistics.” Accessed September 7, 2025. https://artsmart.ai/blog/ai-in-social-media-statistics/#:~:text=%2A%20Over%2080,%28Saufter.

Barocas, Solon, and Andrew D. Selbst. “Big Data’s Disparate Impact.” California Law Review 104, no. 3 (2016): 671–732. https://doi.org/10.15779/Z38BG31.

Bommasani, Rishi, et al. On the Opportunities and Risks of Foundation Models. Stanford, CA: Stanford Center for Research on Foundation Models, 2021. https://arxiv.org/abs/2108.07258.

Buchanan, Bruce G. “A (Very) Brief History of Artificial Intelligence.” AI Magazine 26, no. 4 (2006): 53–60. https://www.aaai.org/ojs/index.php/aimagazine/article/view/1868.

Buolamwini, Joy, and Timnit Gebru. “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification.” In Proceedings of the 1st Conference on Fairness, Accountability and Transparency, 2018.

Bygrave, Lee A. “Data Protection by Design and by Default: Deciphering the EU’s Legislative Requirements.” Oslo Law Review 1, no. 2 (2017): 105–120. https://doi.org/10.18261/issn.2387-3299-2017-02-03.

Chen, Y., and T. Zaman. “Shaping Opinions in Social Networks with Shadow Banning.” PLOS ONE 19 (2023). https://doi.org/10.1371/journal.pone.0299977.

Das Gupta, Srabonty. “The EU AI Act and Its Adherence to the European Convention on Human Rights.” EMILDAI(2025). https://emildai.eu/the-eu-ai-act-and-its-adherence-to-the-european-convention-on-human-rights/.

Edwards, Lilian, and Michael Veale. “Slave to the Algorithm? Why a ‘Right to an Explanation’ Is Probably Not the Remedy You Are Looking For.” Duke Law & Technology Review 16, no. 1 (2017): 18–84. https://scholarship.law.duke.edu/dltr/vol16/iss1/2/.

European Commission. “Proposal for a Regulation Laying Down Harmonised Rules on Artificial Intelligence: Shaping Europe’s Digital Future.” Digital Strategy, April 21, 2021. Accessed October 6, 2024. https://digital-strategy.ec.europa.eu/en/library/proposal-regulation-laying-down-harmonised-rules-artificial-intelligence.

———. Proposal for a Regulation Laying Down Harmonised Rules on Artificial Intelligence (EU AI Act), COM(2021) 206 final, Recital 5.

European Parliament and Council. Regulation (EU) 2024/1689 Laying Down Harmonized Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts. Brussels: European Union, 2024. http://data.europa.eu/eli/reg/2024/1689/oj.

European Union. Artificial Intelligence Act, Regulation (EU) 2024/1689. Official Journal of the European Union L 2024/1689 (12 July 2024).

Executive Office of the President. Big Data – Seizing Opportunities, Preserving Values. Washington, DC: The White House, 2014.

Guidotti, Riccardo, et al. “A Survey of Methods for Explaining Black Box Models.” ACM Computing Surveys 51, no. 5 (2018): 93:1–93:42. https://doi.org/10.1145/3236009.

Haoyang, Derek Li, and Jason Towne. “How AI and Human Teachers Can Collaborate to Transform Education.” World Economic Forum, January 9, 2025. Accessed September 7, 2025. https://www.weforum.org/stories/2025/01/how-ai-and-human-teachers-can-collaborate-to-transform-education.

Human Rights Watch. Meta’s Broken Promises: Systemic Censorship of Palestine Content on Instagram and Facebook.New York: Human Rights Watch, December 21, 2023. https://www.hrw.org/report/2023/12/21/metas-broken-promises/systemic-censorship-palestine-content-instagram-and.

Indonesia. Surat Edaran Menteri Komunikasi dan Informatika Nomor 9 Tahun 2023 tentang Etika Kecerdasan Artifisial.

———. Undang-Undang Dasar Negara Republik Indonesia Tahun 1945. Jakarta: Sekretariat Negara Republik Indonesia, 1945.

Jordan, Michael I., and Tom M. Mitchell. “Machine Learning: Trends, Perspectives, and Prospects.” Science 349, no. 6245 (2015): 255–60. https://doi.org/10.1126/science.aaa8415.

Koops, Bert-Jaap. “The Concept of Function Creep.” Law, Innovation and Technology 13, no. 1 (2021): 1–23. https://doi.org/10.1080/17579961.2021.1898299.

Kuye, K. Emmanuel. Digital Information Privacy in the Age of Big Data: Challenges and Solutions. 2023. https://www.researchgate.net/publication/376448455_Digital_Information_Privacy_in_the_Age_of_Big_Data_Challenges_and_Solutions.

Latonero, Mark. Governing Artificial Intelligence: Upholding Human Rights & Dignity. New York: Data & Society Research Institute, 2018. https://datasociety.net/wp-content/uploads/2018/10/DataSociety_Governing_Artificial_Intelligence_Upholding_Human_Rights.pdf.

LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. “Deep Learning.” Nature 521, no. 7553 (2015): 436–44. https://doi.org/10.1038/nature14539.

McCarthy, John. “What Is Artificial Intelligence?” Stanford University, November 12, 2007. http://www-formal.stanford.edu/jmc/whatisai.pdf.

Milaj, Juri. “Privacy, Surveillance, and the Proportionality Principle.” International Review of Law, Computers & Technology 30, nos. 1–2 (2016): 35–50. https://doi.org/10.1080/13600869.2015.1076993.

O’Neil, Cathy. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York: Crown, 2016.

Obermeyer, Ziad, Brian Powers, Christine Vogeli, and Sendhil Mullainathan. “Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations.” Science 366, no. 6464 (2019): 447–453.

Organisation for Economic Co-operation and Development (OECD). AI and the Future of Social Protection in OECD Countries. OECD Artificial Intelligence Papers, No. 42. Paris: OECD Publishing, June 2025. https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/06/ai-and-the-future-of-social-protection-in-oecd-countries_038f49ed/7b245f7e-en.pdf.

———. OECD Principles on Artificial Intelligence. Paris: OECD, 2019. https://oecd.ai/en/ai-principles.

———. Recommendation of the Council on Artificial Intelligence (OECD/LEGAL/0449). Paris: OECD, May 22, 2019; revised 2024. https://legalinstruments.oecd.org/en/instruments/oecd-legal-0449.

Palos-Sánchez, Pedro R., et al. “Artificial Intelligence and Human Resources Management: A Bibliometric Analysis.” Applied Artificial Intelligence 36, no. 1 (2022): 1–28. https://doi.org/10.1080/08839514.2022.2026420.

Penney, Jon, Samantha McKune, Lisa Gill, and Ronald Deibert. “Advancing Human-Rights-by-Design in the Dual-Use Technology Industry.” Columbia Journal of International Affairs 71, no. 2 (2018): 103–110.

Quintavalla, Alessandra, and Jeroen Temperman, eds. Artificial Intelligence and Human Rights. Oxford: Oxford University Press, 2023.

Raji, Inioluwa Deborah, et al. “Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing.” In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (FAccT ’20), 33–44. New York: ACM, 2020. https://doi.org/10.1145/3351095.3372873.

Raji, Inioluwa Deborah, et al. “Closing the AI Accountability Gap.” In Proceedings of FAccT ’20, 33–44.

Rudin, Cynthia. “Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead.” Nature Machine Intelligence 1 (2019): 206–215. https://doi.org/10.1038/s42256-019-0048-x.

Russell, Stuart, and Peter Norvig. Artificial Intelligence: A Modern Approach. 4th ed. Boston: Pearson Education, 2021.

Toosi, Amirhosein, et al. “A Brief History of AI: How to Prevent Another Winter (A Critical Review).” PET Clinics 16, no. 4 (October 2021): 449–469. https://www.sciencedirect.com/science/article/pii/S1936879821004493.

Tufekci, Zeynep. Twitter and Tear Gas: The Power and Fragility of Networked Protest. New Haven: Yale University Press, 2017.

United Nations. Universal Declaration of Human Rights. United Nations General Assembly Resolution 217A (III), December 10, 1948. https://www.un.org/en/about-us/universal-declaration-of-human-rights.

———. International Covenant on Civil and Political Rights. United Nations General Assembly Resolution 2200A (XXI), December 16, 1966. https://www.ohchr.org/en/instruments-mechanisms/instruments/international-covenant-civil-and-political-rights.

———. International Covenant on Economic, Social and Cultural Rights (ICESCR). December 16, 1966.

United Nations Educational, Scientific and Cultural Organization (UNESCO). AI and Education: Guidance for Policy-Makers. Paris: UNESCO, 2021.

———. Recommendation on the Ethics of Artificial Intelligence. Paris: UNESCO, 2021. https://unesdoc.unesco.org/ark:/48223/pf0000380455.

———. Recommendation on the Ethics of Artificial Intelligence (Adopted 23 November 2021), Section II: Aims and Objectives, para. (c), p. 15.

———. Recommendation on the Ethics of Artificial Intelligence, Article 16, “Proportionality and Do No Harm.” https://www.unesco.org/en/artificial-intelligence/recommendation-ethics.

Ünver, H. Akin. Artificial Intelligence and Human Rights: Using AI as a Weapon of Repression and Its Impact on Human Rights. Brussels: European Parliament, Policy Department for External Relations, Directorate-General for External Policies, May 2024. PE 754.450.

VIDA. Where’s the Fraud: Protecting Indonesian Businesses from AI-Generated Digital Fraud. Jakarta: VIDA, 2024.

Vinuesa, Raúl, et al. “The Role of Artificial Intelligence in Achieving the Sustainable Development Goals.” Nature Communications 11, no. 233 (2020). https://doi.org/10.1038/s41467-019-14108-y.

World Economic Forum. The Future of AI-Enabled Health 2025. SlideShare. https://www.slideshare.net/slideshow/wef_the_future_of_ai_enabled_health_2025-pdf/275311854.

———. “How AI and Human Teachers Can Collaborate to Transform Education.” January 2025. https://www.weforum.org/stories/2025/01/how-ai-and-human-teachers-can-collaborate-to-transform-education.