Riesgos del uso de Inteligencia Artificial Generativa en comunicación e investigación científica

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

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

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

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

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

Critch, A., & Russell, S. (2023). TASRA: a Taxonomy and Analysis of Societal-Scale Risks from Al. ArXiv, 1. https://arxiv.org/abs/2306.06924

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

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

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

Electronic Privacy Information Centre. (2023). Generating Harms: Generative Al's Impact & Paths Forward. https://epic.org/documents/generating-harms-generative-ais-impact-paths-forward/

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,

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

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/

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

Hagendorff, T. (2024). Mapping the Ethics of Generative AI: A Comprehensive Scoping Review. ArXiv. http://arxiv.org/abs/2402.08323

Hendrycks, D. & Mazeika, M. (2022). X-Risk Analysis for Al Research. ArXiv. https://arxiv.org/abs/2206.05862

Hogenhout, L. (2021). A Framework for Ethical Al at the United Nations. ArXiv. http://arxiv.org/abs/2104.12547

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

Infocomm Media Development Authority. (2023). Cataloguing LLM Evaluations. https://aiverifyfoundation.sg/downloads/Cataloguing_LLM_Evaluations.pdf

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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