Informational dependence and strategic autonomy in the Global South: AI and military decision support
IA y apoyo a la decisión militar
DOI:
https://doi.org/10.5902/2357797598715Keywords:
Global South, Artificial intelligence, Informational dependence, Strategic autonomy, AccountabilityAbstract
This article examines how the adoption of generative artificial intelligence may create an informational dimension of technological dependence in military decision support for Global South states. Drawing on the literature on power, interdependence, and the organization of information, it distinguishes informational resources from their potential exercise as power and examines states’ capacity to govern decision-making processes. Eight systems were compared in two controlled experiments comprising 1,408 accepted responses: 448 political-identity assessments and 960 responses to six synthetic military crises involving Brazil, India, and South Africa. Results reveal differences in state representation across infrastructures, a 27.46-point range between the highest and lowest mean threat assessments, and variation in defensive-readiness recommendations. Critical instructions reduced mean threat by 3.58 points and readiness recommendations by 4.8 percentage points, while permission to use general context affected recommendations more strongly than numerical assessments. Functionally substitutable systems are therefore not necessarily informationally equivalent. The study does not demonstrate corporate exercise of power, influence on human decisions, or loss of state autonomy. Its contribution is to identify a potential vulnerability and propose accountability, particularly of human decision-makers, as a framework for governing the admissibility, use, and contestation of automated advice.
Downloads
References
BIENVENUE, Emily; KELTON, Maryanne; ROGERS, Zac; SULLIVAN, Michael; FORD, Matthew. Private Tech Companies, the State, and the New Character of War. Carnegie Endowment for International Peace, 1 dez. 2025. Disponível em: https://carnegieendowment.org/research/2025/12/ukraine-war-tech-companies. Acesso em: 7 set. 2026.
BODE, Ingvild; HUELSS, Hendrik; NADIBAIDZE, Anna; QIAO-FRANCO, Guangyu; WATTS, Tom F. A. Algorithmic Warfare: Taking Stock of a Research Programme. Global Society, v. 38, n. 1, p. 1–23, 2024. DOI: 10.1080/13600826.2023.2263473.
BOVENS, Mark. Analysing and Assessing Accountability: A Conceptual Framework. European Law Journal, v. 13, n. 4, p. 447–468, 2007. DOI: 10.1111/j.1468-0386.2007.00378.x.
BRASIL. Decreto nº 12.725, de 18 de novembro de 2025. Aprova a Política Nacional de Defesa, a Estratégia Nacional de Defesa e o Livro Branco de Defesa Nacional. Diário Oficial da União, Brasília, 2025. Disponível em: https://www.planalto.gov.br/ccivil_03/_ato2023-2026/2025/decreto/d12725.htm. Acesso em: 7 set. 2026.
BUYL, Maarten et al. Large language models reflect the ideology of their creators. npj Artificial Intelligence, v. 2, artigo 7, 2026. DOI: 10.1038/s44387-025-00048-0.
COMITÊ INTERNACIONAL DA CRUZ VERMELHA (CICV). Decisions, Decisions, Decisions: computation and artificial intelligence in military decision-making. Genebra: CICV, 2024. Disponível em: https://www.icrc.org/en/publication/decisions-decisions-decisions-computation-and-artificial-intelligence-military-decision. Acesso em: 7 set. 2026.
CORMEN, Thomas H.; LEISERSON, Charles E.; RIVEST, Ronald L.; STEIN, Clifford. Introduction to Algorithms. 4. ed. Cambridge: MIT Press, 2022.
GARCIA, Denise. Algorithms and Decision-Making in Military Artificial Intelligence. Global Society, v. 38, n. 1, p. 24–33, 2024. DOI: 10.1080/13600826.2023.2273484.
GERBER, Alan et al. Reporting guidelines for experimental research: a report from the Experimental Research Section Standards Committee. Journal of Experimental Political Science, v. 1, n. 1, p. 81–98, 2014. DOI: 10.1017/xps.2014.11.
HAN, Byung-Chul. Infocracia: digitalização e a crise da democracia. Tradução de Gabriel Salvi Philipson. Petrópolis: Vozes, 2022.
KELTON, Maryanne; SULLIVAN, Michael; ROGERS, Zac; BIENVENUE, Emily; TROATH, Sian. Virtual sovereignty? Private internet capital, digital platforms and infrastructural power in the United States. International Affairs, v. 98, n. 6, p. 1977–1999, 2022. DOI: 10.1093/ia/iiac226.
KEOHANE, Robert O.; NYE, Joseph S. Power and Interdependence. 4. ed. Boston: Longman, 2012.
LOPES, Gills Vilar; MEDEIROS, Marcelo de Almeida. CiberRI ou introdução aos estudos sistemáticos sobre o ciberespaço no tripé ensino-pesquisa-extensão de Relações Internacionais. Meridiano, 47, v. 19, 2018. DOI: 10.20889/M47e19004.
LUSHENKO, Paul. AI, trust, and the war room: Evidence from a conjoint experiment in the US military. Cambridge Forum on AI: Law and Governance, v. 1, e52, 2026. DOI: 10.1017/cfl.2025.10019.
NADIBAIDZE, Anna. Startups Envisioning Algorithmic Warfare: The Discourses of US Tech Companies in Defense AI. Global Policy, v. 16, n. 3, p. 487–493, 2025. DOI: 10.1111/1758-5899.70047.
NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY (NIST). Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. NIST AI 600-1. Gaithersburg: NIST, 2024. DOI: 10.6028/NIST.AI.600-1.
NATO. Summary of NATO's Rapid Adoption Action Plan. Brussels, 25 June 2025. Disponível em: https://www.nato.int/en/about-us/official-texts-and-resources/official-texts/2025/06/25/summary-of-natos-rapid-adoption-action-plan. Acesso em: 7 set. 2026.
NICKERSON, Raymond S. Confirmation Bias: A Ubiquitous Phenomenon in Many Guises. Review of General Psychology, v. 2, n. 2, p. 175–220, 1998. DOI: 10.1037/1089-2680.2.2.175.
NYE JR., Joseph S. O futuro do poder. Tradução de Magda Lopes. São Paulo: Benvirá, 2012.
OECD. Artificial intelligence and competitive dynamics in downstream markets. OECD Roundtables on Competition Policy Papers, n. 331. Paris: OECD Publishing, 2025. DOI: 10.1787/ccf0624a-en.
PARASURAMAN, Raja; MANZEY, Dietrich H. Complacency and bias in human use of automation: an attentional integration. Human Factors, v. 52, n. 3, p. 381–410, 2010. DOI: 10.1177/0018720810376055.
RAJI, Inioluwa Deborah et al. Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. In: CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, 2020. Proceedings [...]. New York: ACM, 2020. p. 33–44. DOI: 10.1145/3351095.3372873.
RUSSO, Alessandra. Does AI Affect the Democratic Conduct of War? Analyzing US and Israeli Military AI Deployment. Global Policy, v. 17, n. S2, p. S45–S56, 2026. DOI: 10.1111/1758-5899.70117.
SKITKA, Linda J.; MOSIER, Kathleen L.; BURDICK, Mark. Does automation bias decision-making? International Journal of Human-Computer Studies, v. 51, n. 5, p. 991–1006, 1999. DOI: 10.1006/ijhc.1999.0252.
STANFORD INSTITUTE FOR HUMAN-CENTERED ARTIFICIAL INTELLIGENCE (STANFORD HAI). The 2026 AI Index Report. Stanford University, 2026. Disponível em: https://hai.stanford.edu/ai-index/2026-ai-index-report. Acesso em: 7 set. 2026.
STRANGE, Susan. States and Markets. 2. ed. London: Pinter Publishers, 1994.
ZHOU, Wen; GREIPL, Anna Rosalie. Artificial intelligence in military decision-making: supporting humans, not replacing them. Humanitarian Law & Policy, 29 ago. 2024. Disponível em: https://blogs.icrc.org/law-and-policy/2024/08/29/artificial-intelligence-in-military-decision-making-supporting-humans-not-replacing-them/. Acesso em: 7 set. 2026.
Downloads
Published
Issue
Section
License

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


