Por favor, use este identificador para citar o enlazar este ítem:
https://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/10755Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | Rojas Contreras, William Mauricio. | - |
| dc.contributor.author | Rojas Contreras, Olga Liliana. | - |
| dc.contributor.author | Mojica Acevedo, Eliana Caterine. | - |
| dc.date.accessioned | 2026-08-12T15:03:46Z | - |
| dc.date.available | 2025-12-12 | - |
| dc.date.available | 2026-08-12T15:03:46Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Rojas Contreras, W.; Rojas Contreras, O.; Mojica Acevedo, E. (2025). Riesgos del uso de Inteligencia Artificial Generativa en comunicación e investigación científica. Sello Editorial Universidad de Pamplona. https://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/10755 | es_CO |
| dc.identifier.isbn | 978-628-7656-87-1 | - |
| dc.identifier.uri | https://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/10755 | - |
| dc.description | El desarrollo y la integración de la inteligencia artificial (IA) han planteado importantes desafíos éticos, especialmente en el dominio de la desinformación. Este trabajo de investigación aborda los riesgos específicos asociados a la IA generativa en los procesos de comunicación científica, respondiendo a la pregunta: ¿Cuáles son los subdominios del dominio de desinformación que se generan en la comunicación e investigación científica por el uso de la inteligencia artificial? A través de una revisión sistemática de literatura, se identificaron los principales dominios de riesgos de la IA, tales como discriminación y toxicidad, privacidad y seguridad, desinformación, actores maliciosos, interacción humano-computadora, socioeconómicos y ambientales, y fallos de los sistemas de IA. El dominio de desinformación se desglosa en los subdominios de Información falsa o engañosa y Contaminación del ecosistema informativo y pérdida de la realidad consensuada. Los riesgos más frecuentes identificados en este dominio incluyen el sesgo de datos y la desinformación intencional. La investigación contribuye al campo de la ética de la IA, proponiendo recomendaciones para un uso ético y responsable de la IA en la ciencia. Futuros estudios deberán centrarse en el desarrollo de estrategias de mitigación de riesgos y en abordar las brechas identificadas en el dominio de la desinformación. | es_CO |
| dc.description.abstract | Los autores no proporcionan información sobre este ítem. | es_CO |
| dc.format.extent | 123 | es_CO |
| dc.format.mimetype | application/pdf | es_CO |
| dc.language.iso | es | es_CO |
| dc.publisher | Sello Editorial - Unipamplona - Facultad de Ingenierías & Arquitectura - Ciencias e Innovación. | es_CO |
| dc.subject | Alucinación. | es_CO |
| dc.subject | Desinformación. | es_CO |
| dc.subject | Ética de la IA. | es_CO |
| dc.subject | Inteligencia artificial. | es_CO |
| dc.subject | Sesgo de datos. | es_CO |
| dc.subject | Riesgos. | es_CO |
| dc.subject | Comunicación e investigación. | es_CO |
| dc.title | Riesgos del uso de Inteligencia Artificial Generativa en comunicación e investigación científica | es_CO |
| dc.type | http://purl.org/coar/resource_type/c_2f33 | es_CO |
| dc.date.accepted | 2025-12-12 | - |
| dc.description.edition | Primera Edición. | es_CO |
| dc.relation.references | Abimbola, C., Eden, C.A., Chisom, O.N., & Adeniyi, I.S. (2024). Integrating Al in education: Opportunities, challenges, and ethical considerations. Magna Scientia Advanced Research and Reviews, 10(02), 006-013. https://doi.org/10.30574/msarr.2024.10.2.0039 | es_CO |
| dc.relation.references | Al-Rashed, N. (2024). The Impact of Artificial Intelligence on the Future of Media. International Journal for Scientific Research., 108 https://doi.org/10.59992/ijsr.2024.v3n7p3 | es_CO |
| dc.relation.references | Ballester, V. G., & Vicente, C. T. (2024). El rol de la inteligencia artificial en la publicación científica: perspectivas desde la farmacia hospitalaria. Farmacia Hospitalaria, 48(5), 246-251. https://doi.org/10.1016/j.farma.2024.06.002 | es_CO |
| dc.relation.references | Carobene, A., Padoan, A., Cabitza, F., Banfi, G., & Plebani, Mo. (2024).Rising adoption of artificial intelligence in scientific publishing: evaluating the role, risks, and ethical implications in paper drafting and review process. Clinical Chemistry and Laboratory Medicine, 62(5), pp. 835-843. https://doi.org/10.1515/cclm-2023-1136 | es_CO |
| dc.relation.references | Cui, T., Wang, Y., Fu, C., Xiao, Y., Li, S., Deng, X., Liu, Y., Zhang, Q., Qiu, Z., Li, P., Tan, Z., Xiong, J., Kong, X., Wen, Z., Xu, K. & Li, Q. (2024). Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems. ArXiv. http://arxiv.org/abs/2401.05778 | es_CO |
| dc.relation.references | Critch, A., & Russell, S. (2023). TASRA: a Taxonomy and Analysis of Societal-Scale Risks from Al. ArXiv, 1. https://arxiv.org/abs/2306.06924 | es_CO |
| dc.relation.references | Cunha, P.R., & Estima, J. (2023). Navigating the Landscape of AI Ethics and Responsibility. In N. Moniz, Z. Vale, J. Cascalho, C. Silva, R. Sebastião (eds) Progress in Artificial Intelligence. EPΙΑ 2023. Lecture Notes in Computer Science (vol. 14115, pp. 92-105). Springer. https://doi.org/10.1007/978-3-031-49008-8_8 | es_CO |
| dc.relation.references | Deng, J., Cheng, J., Sun, H., Zhang, Z. & Huang, M. (2023). Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements. ArXiv, 1. http://arxiv.org/abs/2302.09270 | es_CO |
| dc.relation.references | Dhawan, S., & Kumar, K. (2024). Ethical Implications of AI in Healthcare. International Journal of Scientific Research In Engineering And Management, 8(3), 1-12. https://doi. org/10.55041/IJSREM29006 | es_CO |
| dc.relation.references | Electronic Privacy Information Centre. (2023). Generating Harms: Generative Al's Impact & Paths Forward. https://epic.org/documents/generating-harms-generative-ais-impact-paths-forward/ | es_CO |
| dc.relation.references | Fill, H., Härer, F., Vasic, I., Borcard, D., Reitemeyer, B., Muff, F., Curty, S., & Bühlmann, M. (28-31 de October de 2024). CMAG: A Framework for Conceptual Model Augmented Generative Artificial Intelligence. ER2024: Companion Proceedings of the 43rd International Conference on Conceptual Modeling: ER Forum, Pittsburgh, Pennsylvania, USA, | es_CO |
| dc.relation.references | Gabriel, I., Manzini, A., Keeling, G., Hendricks, L. A., Rieser, V., Iqbal, H., Tomašev, N., Ktena, I., Kenton, Z., Rodriguez, M., El-Sayed, S., Brown, S., Akbulut, C., Trask, A., Hughes, E., Stevie Bergman, A., Shelby, R., Marchal, N., Griffin, C., "..." Manyika, J. (2024). The Ethics of Advanced Al Assistants. ArXiv, 1. https://doi.org/10.48550/arXiv.2404.16244 | es_CO |
| dc.relation.references | Ghani, M., Mustafa, W., Shakir, A., Bakhtiar, D., & Ramadan, G. (2023). Symbiotic Relationship Between Media Technology and Artificial Intelligence: A Synthesis Analysis. 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC). Tumkur, India. ICMNWC60182.2023.10435827 https://doi.org/10.1109/ | es_CO |
| dc.relation.references | Golpayegani, D., Pandit, H.J., & Lewis, D. (2022). AIRO: An Ontology for Representing AI Risks Based on the Proposed EU AI Act and ISO Risk Management Standards. IOS Press, 55, 51-55. https://doi.org/10.3233/SSW220008 | es_CO |
| dc.relation.references | Hagendorff, T. (2024). Mapping the Ethics of Generative AI: A Comprehensive Scoping Review. ArXiv. http://arxiv.org/abs/2402.08323 | es_CO |
| dc.relation.references | Hendrycks, D. & Mazeika, M. (2022). X-Risk Analysis for Al Research. ArXiv. https://arxiv.org/abs/2206.05862 | es_CO |
| dc.relation.references | Hryciw, B. N., Seely, A. J. & Kyeremanteng, K. (2023). Guiding principles and proposed classification system for the responsible adoption of artificial intelligence in scientific writing in medicine. Frontiers in Artificial Intelligence, 6, 1-5. https://doi. org/10.3389/frai.2023.1283353 | es_CO |
| dc.relation.references | Hogenhout, L. (2021). A Framework for Ethical Al at the United Nations. ArXiv. http://arxiv.org/abs/2104.12547 | es_CO |
| dc.relation.references | Infocomm Media Development Authority. (2023). Cataloguing LLM Evaluations. https://aiverifyfoundation.sg/downloads/Cataloguing_LLM_Evaluations.pdf | es_CO |
| dc.relation.references | Jiao, J., Afroogh, S., Xu, Y. & Phillips, C. (2024). Navigating LLM Ethics: Advancements, Challenges, and Future Directions. ArXiv, 1. https://doi.org/10.48550/arXiv.2406.18841 | es_CO |
| dc.relation.references | Khalifa, M. & Albadawy, M. (2024). Using artificial intelligence in academic writing and research: An essential productivity tool. Computer Methods and Programs in Biomedicine Update, 5, 100145. https://doi.org/10.1016/j.cmpbup.2024.100145 | es_CO |
| dc.relation.references | Liu, Y., Yao, Y., Ton, J.-F., Zhang, X., Guo, R., Cheng, H., Klochkov, Y., Taufiq, M. F. & Li, H. (2023). Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment. ArXiv. http://arxiv.org/abs/2308. | es_CO |
| dc.relation.references | Ma, Y., Liu, J., Yi, F., Cheng, Q., Huang, Y., Lu, W. & Liu, X. (2023). Al vs. Human Differentiation Analysis of Scientific Content Generation. ArXiv. https://doi.org/10.48550/arXiv.2301.10416 | es_CO |
| dc.relation.references | Manoj, K. & Sahil, J. (2025). Ethical issues in the development of artificial intelligence: recognizing the risks. International Journal of Ethics and Systems, 41(1), 45-63.https://doi.org/10.1108/IJOES-05-2023-0107 | es_CO |
| dc.relation.references | Nah, F. F. H., Zheng, R., Cai, J., Siau, K. & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and Al-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277-304. https://doi.org/10.1080 /15228053.2023.2233814 | es_CO |
| dc.relation.references | Niveditha, K. P., Choubey, K., Soni, K., Mishra, P., & Naz, A. (2024). Exploring the Role of Artificial Intelligence in Modern Education. International Journal of Innovative Research in Computer and Communication Engineering, 12(5), 8147-8150. https://ijircce.com/admin/main/storage/app/pdf/PeLGRoEovWK8yJozTjh8clpsY2Y0Ae5P0FFOOKOS.pdf | es_CO |
| dc.relation.references | Novelli, C., Casolari, F., Rotolo, A., Taddeo, M., & Floridi, L. (2024). ΑΙ Risk Assessment: A Scenario-Based, Proportional Methodology for the AI Act. Digital Society, 3(13), 1-29. https://doi. org/10.1007/s44206-024-00095-1 | es_CO |
| dc.relation.references | Peña-Fernández S., Peña-Alonso U., & Eizmendi-Iraola M. (2023). El discurso de los periodistas sobre el impacto de la inteligencia artificial generativa en la desinformación. Estudios sobre el Mensaje Periodístico, 29(4), 833-841. https://doi.org/10.5209/esmp.88673 | es_CO |
| dc.relation.references | Penabad-Camacho, L., Penabad-Camacho, M. A., Mora-Campos, A., Cerdas-Vega, G., Morales-López, Y., Ulate-Segura, M., Méndez-Solano, A., Nova-Bustos, N., Vega-Solano, M. F. & Castro-Solano, Μ. Μ. (2024). Heredia Declaration: Principles on the use of Artificial Intelligence in scientific publishing. Revista Electrónica Educare, 28(S), 1-10. https://doi.org/10.15359/ree.28-S.19967 | es_CO |
| dc.relation.references | Rodrigues, F., Newell, R., Babu, G. R., Chatterjee, T., Sandhu, N. K., & Gupta, L. (2024). The social media Infodemic of health-related misinformation and technical solutions. Health Policy and Technology, 13(2), 100846. https://doi.org/10.1016/j. hlpt.2024.100846 | es_CO |
| dc.relation.references | Rogers, W.A., Draper, H., & Carter, S.M. (2021). Evaluation of artificial intelligence clinical applications: Detailed case analyses show value of healthcare ethics approach in identifying patient care issues. Bioethics, 35(7), 623-633. https://doi.org/10.1111/bioe.12885 | es_CO |
| dc.relation.references | Samuel-Okon, A. D. (2024). Smart Media or Biased Media: The Impacts and Challenges of Al and Big Data on the Media Industry. Asian Journal of Research in Computer Science, 7(7), 128-144. https://doi.org/10.9734/ajrcos/2024/v17i7484 | es_CO |
| dc.relation.references | Shelby, R., Rismani, S., Henne, K., Moon, A., Rostamzadeh, N., Nicholas, P., Yilla-Akbari, N. 'mah, Gallegos, J., Smart, A., Garcia, E., & Virk, G. (2023). Sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction. AIES '23: Proceedings of the 2023 AAAI/ACM Conference on Al, Ethics, and Society (pp. 723-741). Association for Computing Machinery. https://doi. org/10.1145/3600211.3604673 | es_CO |
| dc.relation.references | Slattery, P., Saeri, A., Grundy, E.A., Graham, J., Noetel, M., Uuk, R., Dao, J., Pour, S., Casper, S. & Thompson, N. (2024). The AI Risk Repository: A Comprehensive Meta-Review, Database, and Taxonomy of Risks From Artificial Intelligence. ArXiv, 1. https://doi.org/10.48550/arXiv.2408.12622 | es_CO |
| dc.relation.references | Stahl, B. C., Antoniou, J., Bhalla, N., Brooks, L., Jansen, P., Lindqvist, B., ... & Wright, D. (2023). A systematic review of artificial intelligence impact assessments. Artificial Intelligence Review, 56(11), 12799-12831. https://doi.org/10.1007/s10462-023-10420-8 | es_CO |
| dc.relation.references | Sun, H., Zhang, Z., Deng, J., Cheng, J., & Huang, M. (2023). Safety Assessment of Chinese Large Language Models. ArXiv, https://arxiv.org/abs/2304.10436 | es_CO |
| dc.relation.references | Ustinovich, E. (2024). Generative artificial intelligence in the electoral processes of 2024 in the world: disinformation campaigns and online trolls. Social"naja Politika I Social"noe Partnerstvo (Social Policy and Social Partnership, (3)gener. https://doi.org/10.33920/pol-01-2403-03 | es_CO |
| dc.relation.references | Vidgen, B., Agrawal, A., Ahmed, A. M., Akinwande, V., Al-Nuaimi, N., Alfaraj, N., Alhajjar, E., Aroyo, L., Bavalatti, T., Blili-Hamelin, B., Bollacker, K., Bomassani, R., Boston, M.F., Campos, S., Chakra, K., Chen, C., Coleman, C., Coudert, Z. D., Derczynski, L., "..." Vanschoren, J. (2024). Introducing v0.5 of the AI Safety Benchmark from MLCommons. ArXiv. http://arxiv.org/abs/2404.12241 | es_CO |
| dc.relation.references | Weidinger, L., Rauh, M., Marchal, N., Manzini, A., Hendricks, L. A., Mateos-Garcia, J., Bergman, S., Kay, J., Griffin, C., Bariach, B., Gabriel, I., Rieser, V. & Isaac, W. (2023). Sociotechnical Safety Evaluation of Generative Al Systems. ArXiv. http://arxiv.org/abs/2310.11986 | es_CO |
| dc.relation.references | Weidinger, L., Uesato, J., Rauh, M., Griffin, C., Huang, P.S., Mellor, J., Glaese, A., Cheng, M., Balle, B., Kasirzadeh, A., Biles, C., Brown, S., Kenton, Z., Hawkins, W., Stepleton, T., Birhane, A., Hendricks, L. A., Rimell, L., Isaac, W., Haas, J, Legassick, S., Irving, G. & Gabriel, I. (2022). Taxonomy of Risks posed by Language Models. FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 214-229. https://doi.org/10.1145/3531146.3533088 | es_CO |
| dc.relation.references | Weidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P.-S., Cheng, M., Glaese, M., Balle, B., Kasirzadeh, A., Kenton, Z., Brown, S., Hawkins, W., Stepleton, T., Biles, C., Birhane, A., Haas, J., Rimell, L., Hendricks, L. A. & Gabriel, I. (2021). Ethical and social risks of harm from Language Models. ArXiv. http://arxiv. org/abs/2112.04359 | es_CO |
| dc.relation.references | Williamson, S. M., Prybutok, V. (2024). Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in Al-Driven Healthcare. Applied Sciences, 14(2), 675. https://doi.org/10.3390/app14020675 | es_CO |
| dc.relation.references | Zeng, Y., Klyman, K., Zhou, A., Yang, Y., Pan, M., Jia, R., Song, D., Liang, P., & Li, B. (2024). AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies. ArXiv, https://arxiv.org/abs/2406.17864 | es_CO |
| dc.relation.references | Zhang, Z., Lei, L., Wu, L., Sun, R., Huang, Y., Long, C., Liu, X., Lei, X., Tang, J. & Huang, M. (2023). SafetyBench: Evaluating the safety of Large Language Models. ArXiv. https://doi.org/10.48550/arXiv.2309.07045 | es_CO |
| dc.rights.accessrights | http://purl.org/coar/access_right/c_abf2 | es_CO |
| dc.type.coarversion | http://purl.org/coar/version/c_970fb48d4fbd8a85 | es_CO |
| Aparece en las colecciones: | Ciencia e innovación | |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| Rojas_Rojas_Mojica_2025_PI.pdf | 6,98 MB | Adobe PDF | Visualizar/Abrir |
Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.