The Ethical Implications of AI and Big Data in Achieving Sustainable Development: Opportunities and Threats in Governance, Social Welfare, and Global Equity

Authors

  • Abdul Rauf Faculty of Engineering, Computer and Design (FECD), Nusa Putra University Sukabumi43152, West Java, Indonesia
  • Somantri Faculty of Engineering, Computer and Design (FECD), Nusa Putra University Sukabumi43152, West Java, Indonesia
  • Ivana Lucia Kharisma Faculty of Engineering, Computer and Design (FECD), Nusa Putra University Sukabumi43152, West Java, Indonesia
  • Sagheer Abbas Faculty of Law, Nusa Putra university, Sukabumi 43152, West Java, Indonesia

DOI:

https://doi.org/10.69971/dss.2.2.2025.42

Keywords:

AI ethics, big data governance, sustainable development goals (SDGs), algorithmic bias, digital divide, data privacy, techno-ethical policy

Abstract

As Artificial Intelligence (AI) and Big Data rapidly evolve, their integration into sustainable development strategies presents both promising opportunities and profound ethical challenges. This research investigates the dual role of AI and Big Data in shaping governance structures, enhancing social welfare systems, and addressing global equity disparities, while critically examining the ethical tensions that arise. Drawing from a multidisciplinary approach, the study analyzes policy frame- works, case studies, and technological deployments across both developed and developing nations. The research highlights how AI-driven decision-making can improve resource distribution and public service efficiency, while also revealing concerns such as data privacy violations, algorithmic bias, and reinforcement of socio-economic inequalities. Through qualitative content analysis and policy review, this paper contributes to the discourse on responsible AI and ethical data governance, underscoring the need for global cooperation and robust legal frameworks that safeguard human rights while promoting innovation.

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References

Abuya, Alfred. 2021. Exporting Surveillance: How West African Governments Adopt Repressive Laws and Technologies. African Digital Rights Network.

Angwin, Julia, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016. Machine Bias. ProPublica. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing

Buolamwini, Joy, and Timnit Gebru. 2018. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of Machine Learning Research 81: 77–91. https://proceedings.mlr.press/v81/buolamwini18a.html

Cowls, Josh, Andreas Tsamados, Mariarosaria Taddeo, and Luciano Floridi. 2021. The AI Gambit: Leveraging Artificial Intelligence to Combat Climate Change-Opportunities, Challenges, and Recommendations. AI & Society 36: 283-307. https://pubmed.ncbi.nlm.nih.gov/34690449/

Eubanks, Virginia. 2018. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. New America. https://www.newamerica.org/insights/automating-inequality/

European Commission. 2021. Proposal for a Regulation Laying Down Harmonised Rules on Artificial Intelligence. European Commission. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52021PC0206

Floridi, Luciano, Josh Cowls, Mariarosaria Taddeo, Peter Beltrametti, and Virginia Dignum, et al. 2018. AI4People-An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines 28: 689-707. https://doi.org/10.1007/s11023-018-9482-5

Hao, Karen. 2019. Apple Card Is Facing a Gender Discrimination Probe. MIT Technology Review. https://www.technologyreview.com/2019/11/11/132004/apple-card-is-facing-a-gender-discrimination-probe/

Indonesian Ministry of Education. 2023. AI Ethics Curriculum Guidelines. Ministry of Education, Culture, Research, and Technology.

Jobin, Anna, Marcello Ienca, and Effy Vayena. 2019. The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence 1: 389–399. https://doi.org/10.1038/s42256-019-0088-2

Mayer-Schönberger, Viktor, and Kenneth Cukier. 2013. Big Data: A Revolution That Will Transform How We Live, Work, and Think. Houghton Mifflin Harcourt. https://dl.acm.org/doi/book/10.5555/2588165

Milan, Stefania, and Emiliano Treré. 2019. Big Data from the South: Beyond Data Universalism. Television & New Media 20: 319–335. https://doi.org/10.1177/1527476419837739

Mozur, Paul, Muyi Xiao, and John Liu. 2022. China’s Surveillance State Inspires Global Repression. New York Times, June 25, 2022. https://www.nytimes.com/2022/06/25/technology/china-surveillance-expansion.html

Obermeyer, Ziad, Brian Powers, Christine Vogeli, and Sendhil Mullainathan. 2019. Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations. Science 366: 447–453. https://doi.org/10.1126/science.aax2342

OECD. 2019. OECD AI Principles review. OECD. https://oecd.ai/en/ai-principles

OECD. 2023. State of Implementation of OECD AI Principles: Insights from National AI Policies. OECD. https://doi.org/10.1787/1cd40c44-en

Patterson, Sarah. 2022. The Hidden Water Footprint of AI Models. Nature Sustainability 5: 623-625.https://doi.org/10.1038/s41893-022-00900-7

Sachs, Jeffrey D., Guido Schmidt-Traub, Christian Kroll, Guillaume Lafortune, Grayson Fuller, and Finn Woelm. 2019. Six Transformations to Achieve the Sustainable Development Goals. Nature Sustainability 2: 805–814. https://doi.org/10.1038/s41893-019-0352-9

Shahbaz, Adrian, Allie Funk, and Kian Vesteinsson. 2022. Freedom on the Net 2022: Countering an Authoritarian Overhaul of the Internet. Freedom House. https://freedomhouse.org/report/freedom-net/2022/countering-authoritarian-overhaul-internet

Taddeo, Mariarosaria, and Luciano Floridi. 2018. How AI Can Be a Force for Good. Science 361: 751–752. https://doi.org/10.1126/science.aat5991

UIDAI. 2022. Annual Report 2021–22. New Delhi: Unique Identification Authority of India, Government of India. https://uidai.gov.in/images/annual_report_2021_22.pdf

UN Human Rights Committee. 2020. General Comment No. 37 (2020) on Right of Peaceful Assembly. International Covenant on Civil and Political Rights. https://undocs.org/CCPR/C/GC/37

UNCTAD. 2022. Data Protection and Privacy Legislation Worldwide. UN Trade & Development. https://unctad.org/page/data-protection-and-privacy-legislation-worldwide

UNESCO. 2021. Recommendation on the Ethics of Artificial Intelligence. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000381137

United Nations. 2015. Transforming Our World: The 2030 Agenda for Sustainable Development. United Nations. https://sdgs.un.org/2030agenda

Vinuesa, Ricardo, Hossein Azizpour, Iolanda Leite, Madeline Balaam, Virginia Dignum, et al. 2020. The Role of Artificial Intelligence in Achieving the Sustainable Development Goals. Nature Communications 11: 233. https://doi.org/10.1038/s41467-019-14108-y

World Health Organization. 2023. Digital Health in Africa: Challenges and Opportunities. World Health Organization. https://www.linkedin.com/posts/digitalhealth-africa_dhainsights-activity-7366122042556932096-0hR4/

Zuboff, Shoshana. 2019. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. Harvard Business School. https://www.hbs.edu/faculty/Pages/item.aspx?num=56791

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Published

2025-11-24

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Articles

How to Cite

Rauf, Abdul, Somantri, Ivana Lucia Kharisma, and Sagheer Abbas. 2025. “The Ethical Implications of AI and Big Data in Achieving Sustainable Development: Opportunities and Threats in Governance, Social Welfare, and Global Equity”. Digital Social Sciences 2 (2): 6-9. https://doi.org/10.69971/dss.2.2.2025.42.