ARTIFICIAL INTELIGENT AND ZEMIOLOGY FOR MAKING SOCIAL DAMAGE VISIBLE IN THE HIGHLANDS OF CHIAPAS
DOI:
https://doi.org/10.37135/kai.03.17.02Keywords:
zemiology, artificial Intelligence, Social Harm, Zemiological Algorithm, Restorative JusticeAbstract
This article proposes an approach to making visible the systemic harms and state omissions affecting groups in situations of vulnerability through an artificial intelligence (AI)-assisted framework. Its objective is to design a prototypical zemiological model for quantifying structural injuries through natural language processing and knowledge graphs. Drawing on open-access sources, the proposed algorithm operates under human supervision as a social auditing tool oriented toward restorative justice. The results, applied to the case of the Highlands of Chiapas, suggest patterns of historical state neglect. The article concludes that the model offers a preliminary pathway for rendering social harm visible, while acknowledging the limitations inherent in its pilot nature, particularly in terms of replicability and potential biases.
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References
Aebi, M. F. (2004). Crítica y contracrítica de la Criminología crítica: Una respuesta a Elena Larrauri. Programma: Revista de la Facultad de Derecho y Ciencias Políticas, (2), 127-158.
Ariai, F., y Demartini, G. (2024). Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges.
Baratta, A. (2004). Criminología crítica y crítica del derecho penal: Introducción a la sociología jurídico-penal (1ra ed.). Siglo XXI Editores.
Bentley, S. V., Naughtin, C. K., McGrath, M. J., Irons, J. L., y Cooper, P. S. (2024). The digital divide in action: How experiences of digital technology shape future relationships with artificial intelligence. AI and Ethics, 4(4), 901–915. https://doi.org/10.1007/s43681-024-00452-3
Berk, R. (2019). Machine Learning Risk Assessments in Criminal Justice Settings. Springer.
Campedelli, G. M. (2022). Machine learning for criminology and crime research: At the crossroads. Routledge.
Cançado, A. A. (2012). El daño al proyecto de vida en la jurisprudencia de la Corte Interamericana de Derechos Humanos. Corte IDH.
Canning, V., y Tombs, S. (2021). From Social Harm to Zemiology: A Critical Introduction. Routledge.
Centro de Derechos Humanos Fray Bartolomé de Las Casas [Frayba]. (2023). Chiapas: un desastre, entre la violencia criminal y la impunidad estatal. Informe Anual de Derechos Humanos.
Clamp, K. (2025). Unlocking the full potential of restorative justice: Lessons for a thicker peace in Colombia’s transitional justice framework. Instituto CAPAZ.
Comisión Interamericana de Derechos Humanos. (2019). Matrimonio infantil y uniones tempranas en las Américas. Organización de los Estados Americanos.
Comisión Nacional de los Derechos Humanos. (2018). Recomendación No. 53/2018. Sobre el caso del desplazamiento forzado interno en agravio de personas de diversas comunidades de los municipios de Chalchihuitán y Chenalhó, en el estado de Chiapas. https://www.cndh.org.mx/sites/default/files/documentos/2019-05/Rec_2018_053.pdf
Consejo Nacional de Evaluación de la Política de Desarrollo Social. (2023). Medición multidimensional de la pobreza en México 2022. https://www.coneval.org.mx/Medicion/MP/Paginas/Pobreza_2022.aspx
Cormen, T. H., Leiserson, C. E., Rivest, R. L., y Stein, C. (2022). Introduction to Algorithms (4.ª ed.). MIT Press.
Corte Interamericana de Derechos Humanos [CoIDH]. (1998). Caso Loayza Tamayo Vs. Perú. Reparaciones y Costas. Sentencia de 27 de noviembre de 1998. Serie C No. 42.
Crootof, R., Kaminski, M. E., y Price, W. N. (2023). Humans in the Loop. Duke Law Journal, 73(1), 1-84. https://scholar.law.colorado.edu/faculty-articles/2586/
Chan, J. y Bennett Moses, L. (2024). Is Big Data Changing Criminology?. Theoretical Criminology.
De Vos, J. (1993). Vivir en frontera: La experiencia de los indios de Chiapas en la época colonial. Centro de Investigaciones y Estudios Superiores en Antropología Social.
Delgado, J. E. (2025). Los retos de la Criminología más allá del Derecho penal. Revista Diké, Irene y Eunomía, 1(1), 121-139. https://doi.org/10.36151/RDIE.2025.1.1.07
Diez-Picazo, L. (1999). Derecho de daños. Civitas.
Eglash, A. (1958). Creative restitution: Its roots in psychiatry, religion and law. British Journal of Delinquency, 10(1), 619-623.
Elias, J. (2024). Towards a digital zemiology. Justice, Power and Resistance, 8(1), 1–17. https://doi.org/10.1332/26352338Y20240000000014
Google. (2026). Gemini (Versión Gemini 3 Flash) [Modelo de lenguaje extenso]. https://gemini.google.com/
Hart, M., Bavin, K., & Lynes, A. (2025). Artificial Intelligence, Capitalism, and the Logic of Harm: Toward a Critical Criminology of AI. Critical Criminology, 33, 513–532. https://doi.org/10.1007/s10612-025-09837-0
Hayward, K. J., & Maas, M. M. (2021). Artificial intelligence and crime: A primer for criminologists. Crime, Media, Culture, 17(2), 209-233. https://doi.org/10.1177/1741659020917434.
Hickman, L., Thapa, S., Tay, L., Cao, M., & Srinivasan, P. (2022). Text Analytics in Inductive Research: Applications and Methods. Organizational Research Methods, 25(4), 729-758. https://doi.org/10.1177/1094428120971683.
Hillyard, P., y Tombs, S. (2004). Beyond Criminology? En P. Hillyard, C. Pantazis, S. Tombs, & D. Gordon (Eds.), Beyond Criminology: Taking Social Harm Seriously (pp. 10-29). Pluto Press.
Instituto Nacional de Estadística y Geografía. (1990). XI Censo General de Población y Vivienda 1990. INEGI.
Instituto Nacional de Estadística y Geografía [INEGI]. (1993). La población hablante de lengua indígena en Chiapas: XI Censo General de Población y Vivienda, 1990. INEGI.
Instituto Nacional de Estadística y Geografía [INEGI]. (2021). Censo de Población y Vivienda 2020: Resultados para el Estado de Chiapas. INEGI.
Kelleher, J. D., y Tierney, B. (2018). Data Science. MIT Press.
Lazer, D. M. J., Pentland, A., Watts, D. J., Aral, S., Athey, S., Contractor, N., Freelon, D., González-Bailón, S., King, G., Margetts, H., Nelson, A., Salganik, M. J., Strohmaier, M., Vespignani, A., & Wagner, C. (2020). Computational social science: Obstacles and opportunities. Science, 369(6507), 1060–1062. https://doi.org/10.1126/science.aaz8170
Lerner, S. (2010). Sacrifice Zones: The Front Lines of Toxic Exposure in the United States. MIT Press.
López, A. y Morales, H. (2019). Consumo de refrescos y salud en los Altos de Chiapas. Editorial Universitaria.
Ma, Y., y Maas, M. M. (2025). Artificial Intelligence, Capitalism, and the Logic of Harm: Toward a Critical Criminology of AI. Journal of Critical Criminology.
Malik, H. M., Viljanen, M., Lepinkäinen, N., & Alvesalo-Kuusi, A. (2022). Dynamics of social harms in an algorithmic context. International Journal for Crime, Justice and Social Democracy, 11(1), 182–195. https://doi.org/10.5204/ijcjsd.2141
Matthews, R. (2014). Realist Criminology. Palgrave Macmillan.
Meijer, A., & Wessels, M. (2021). Predictive Policing: Before, During, and After. A Review and Agenda for Socially Responsible Algorithms.
Pan, J. Z., et al. (2024). Knowledge Graphs and Large Language Models: A Synergy for Explainable AI.
Pemberton, S. (2015). Harmful Societies: Understanding Social Harm. Policy Press.
Programa Regional de Desarrollo: Región V Altos Tsotsil-Tseltal. Gobierno del Estado de Chiapas. https://www.haciendachiapas.gob.mx/planeacion/Informacion/Programas-Regionales/programas/Region_V_Altos.pdf
Registro Agrario Nacional. (2026). Archivo Agrario Nacional: Expedientes de Dotación y Reconocimiento de Bienes Comunales (Estado de Chiapas). Secretaría de Desarrollo Agrario, Territorial y Urbano. https://www.gob.mx/ran/acciones-y-programas/archivo-agrario-nacional-8041
Rigano, C. (2019). Using Artificial Intelligence to Address Justice System Challenges. National Institute of Justice (NIJ).
Roxin, C. (2006). Derecho Penal. Parte General. Tomo I: Fundamentos. La Estructura de la Teoría del Delito. Civitas.
Salganik, M. J. (2019). Bit by Bit: Social Research in the Digital Age. Princeton University Press.
Secretaría de Salud del Estado de Chiapas. (2024). Informes de salud y gestión institucional. Gobierno del Estado de Chiapas. (Salud Pública / Datos Regionales / Chiapas).
Sen, A. (1999). Development as Freedom. Oxford University Press.
Sierra, M. T. (2004). Haciendo justicia: interlegalidad, derecho y género en regiones indígenas. Centro de Investigaciones y Estudios Superiores en Antropología Social.
Speed, S. (2008). Rights in Rebellion: Indigenous Struggle and Human Rights in Chiapas. Stanford University Press.
Svampa, M. (2019). Las fronteras del neoextractivismo en América Latina: Conflictos socioambientales, giro ecoterritorial y nuevas dependencias. Bielefeld University Press.
Svampa, M., y Viale, E. (2020). El colapso ecológico ya llegó: Una lectura desde el Sur. Siglo XXI Editores.
Tomašev, N., Cornebise, J., Hutter, F., Mohamed, S., Mostafavi, S., Robinson, P., Saria, S., Shen, K., Clopath, C., King, D., Hassabis, D., Ritchie, H., & Clune, J. (2020). AI for social good: Unlocking the opportunity. Nature Communications, 11(1), Artículo 2426. https://doi.org/10.1038/s41467-020-15871-z
Tong, M. (2025). The new actor: Artificial intelligence in criminology and criminal justice. Criminology, Criminal Justice, Law & Society, 26(2), 12–22. https://scholasticahq.com/criminology-criminal-justice-law-society/
Törnberg, P. (2024). The Case for a 'Recursive' Computational Social Science: Large Language Models as Social Instruments. Computational Social Science Review.
Viale, E. (2014). Agronegocio, extractivismo y derecho: El Principio Precautorio al revés. En D. Melón (Coord.), La Patria Sojera: El modelo agrosojero en el Cono Sur (pp. 49–57). Facultad de Periodismo y Comunicación Social, Universidad Nacional de La Plata. https://aadeaa.org/wp-content/uploads/2022/01/La_Patria_Sojera_El_modelo_agrosojero_en.pdf
Victora, C. G., Adair, L., Fall, C., Hallal, P. C., Martorell, R., Richter, L., & Sachdev, H. S. (2008). Maternal and child undernutrition: consequences for adult health and human capital. The Lancet, 371(9609), 340–357. https://doi.org/10.1016/S0140-6736(07)61692-4
Vogl, G. (1959). La población de Chiapas: Desde la conquista hasta el presente. Universidad Nacional Autónoma de México.
Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu, Z., Chandak, P., Liu, Q., Van Katwyk, B., Deac, A., Anandkumar, A., Marinka, C., Gomes, C. P., Leskovec, J., Franceschi, M., Sun, J., y Coley, C. W. (2023). Scientific AI is set to change how we do science. Nature, 620(7972), 47–60. https://doi.org/10.1038/s41586-023-06221-2
Young, J., y Matthews, R. (1993). Rethinking criminology: The realist debate. SAGE Publications.
Zehr, H. (1990). Changing Lenses: A New Focus for Crime and Justice. Herald Press.
Ziems, C., Shaikh, O. A., Manning, C. D., Soni, S., & Ji, Y. (2024). Can Large Language Models Transform Computational Social Science? Computational Linguistics, 50(1), 237–291. https://doi.org/10.1126/science.aaz8170
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