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Hacia una gobernanza corporativa de la inteligencia artificial: propuesta de implementación desde el deber fiduciario en Colombia

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dc.contributor.advisorAvila Cristancho, Mario Fernando
dc.creatorSalazar Cuartas, Melissa
dc.creatorDevia Rey, Jorge Armando
dc.creator.degreeMagíster en Derecho Corporativo
dc.date.accessioned2026-06-03T14:24:29Z
dc.date.available2026-06-03T14:24:29Z
dc.date.created2026-05-29
dc.descriptionEl presente artículo de reflexión analiza el impacto de la inteligencia artificial en el gobierno corporativo y en el alcance del deber fiduciario de los administradores bajo el artículo 24 de la Ley 222 de 1995 en Colombia. Desde un enfoque jurídico-analítico y reflexivo, se sostiene que la delegación en sistemas algorítmicos no exime la responsabilidad, sino que exige mayores niveles de supervisión. Se identifica que el principal riesgo radica en la ausencia de marcos de gobernanza adecuados. Como aporte, se propone un modelo de implementación que articula control, gestión del riesgo y documentación como elementos centrales de la diligencia empresarial.
dc.description.abstractThis article presents a reflective legal analysis of the impact of artificial intelligence on corporate governance and on the scope of directors’ fiduciary duties under Article 24 of Colombian Law 222 of 1995. From a legal-analytical perspective, it argues that reliance on algorithmic systems does not exempt corporate decision-makers from liability, but instead requires enhanced standards of oversight and supervision. The study identifies the absence of adequate governance frameworks as one of the principal legal and organizational risks associated with the corporate adoption of artificial intelligence. As its main contribution, the article proposes an implementation model that integrates oversight, risk management, and documentation as core components of corporate diligence and responsible governance.
dc.format.extent33 pp
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.48713/10336_47870
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/47870
dc.language.isospa
dc.publisherUniversidad del Rosario
dc.publisher.departmentFacultad de Jurisprudencia
dc.publisher.programMaestría en Derecho Corporativo
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.source.bibliographicCitationBrynjolfsson, E., & McAfee, A. (2017, July 18). The business of artificial intelligence: What it can—and cannot—do for your organization. Harvard Business Review
dc.source.bibliographicCitationCalo, R. (2017). Artificial Intelligence Policy: A Primer and Roadmap. UC Davis Law Review, 51, 399–435. https://ssrn.com/abstract=3015350
dc.source.bibliographicCitationD’Angelo, C. A., Floridi, L., & Cenci, A. (2022). Corporate digital responsibility: Organizational governance to promote ethical AI. Journal of Business Ethics, 183(4), 931–950. https://doi.org/10.1007/s10551-021-04996-1
dc.source.bibliographicCitationDavenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
dc.source.bibliographicCitationDeloitte. (2019). AI ethics: A business imperative for boards and C-suites. Deloitte. Recuperado de https://web.archive.org/web/20230320150220/https://www2.deloitte.com/us/en/pages/regulatory/articles/ai-ethics-responsible-ai-governance.html
dc.source.bibliographicCitationFloridi, 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
dc.source.bibliographicCitationFloridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An ethical framework for a good AI society. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
dc.source.bibliographicCitationGreenleaf, G. (2018). Global data privacy laws 2017: 120 national data privacy laws. Privacy Laws & Business International Report, 145, 10–13. https://ssrn.com/abstract=2993035
dc.source.bibliographicCitationJobin, 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
dc.source.bibliographicCitationLey 222 de 1995 (Colombia), artículo 24.
dc.source.bibliographicCitationRai, A., Constantinides, P., & Sarker, S. (2019). Editor’s comments: Next-generation digital platforms: Toward human–AI hybrids. MIS Quarterly, 43(1), iii–ix. https://aisel.aisnet.org/misq/vol43/iss1/2/
dc.source.bibliographicCitationRaisch, S., & Krakowski, S. (2023). Toward AI governance. Information Systems Frontiers, 25(4), 1123–1139. https://doi.org/10.1007/s10796-022-10251-y
dc.source.bibliographicCitationSelbst, A. D., Boyd, D., Friedler, S. A., Venkatasubramanian, S., & Vertesi, J. (2019). Fairness and abstraction in sociotechnical systems. Proceedings of the Conference on Fairness, Accountability, and Transparency (FAT*), 59–68. https://doi.org/10.1145/3287560.3287598
dc.source.bibliographicCitationShrestha, Y. R., Ben-Menahem, S. M., & von Krogh, G. (2019). Organizational decision-making structures. California Management Review, 61(4), 66–83. https://doi.org/10.1177/0008125619862257
dc.source.bibliographicCitationStix, C., Ashurst, C., & Floridi, L. (2024). AI governance: A systematic literature review. AI and Ethics, 4(2), 167–189. https://doi.org/10.1007/s43681-023-00282-9
dc.source.bibliographicCitationSuperintendencia de Industria y Comercio (SIC). (2020). Guía para la implementación del principio de responsabilidad demostrada (accountability)
dc.source.bibliographicCitationOECD. (2023). The state of implementation of the OECD AI Principles four years on. OECD Artificial Intelligence Papers, No. 3. https://doi.org/10.1787/835641c9-en
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subjectInteligencia artificial
dc.subjectGobierno corporativo
dc.subjectDeber fiduciario
dc.subjectResponsabilidad empresarial
dc.subject.keywordArtificial Intelligence
dc.subject.keywordCorporate governance
dc.subject.keywordFiduciary duties
dc.subject.keywordCorporate liability
dc.titleHacia una gobernanza corporativa de la inteligencia artificial: propuesta de implementación desde el deber fiduciario en Colombia
dc.title.TranslatedTitleTowards the corporate governance of artificial intelligence: an implementation proposal from the perspective of fiduciary duties in Colombia
dc.typemasterThesis
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion
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