Desafíos de la regulación de la Inteligencia Artificial y sus aplicaciones desde la perspectiva del Derecho
Tesis Materias > Ciencias Sociales Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales Cerrado Español El presente estudio se propone describir los factores a considerar en el marco normativo de la regulación de la IA en Colombia, relacionados con los actos jurídicos en los que esta podría ser parte; es así, que el presente estudio se hará por medio de una investigación cualitativa fundamentada en el análisis documental y el derecho comparado desde su perspectiva metodológica. Para ello, se partirá por hacer una recopilación histórica de la evolución de la IA en la esfera jurídica y cómo ello dio lugar a la transformación digital del derecho, partiendo desde la IA en la computación, las aplicaciones de servicios legales, el Machine Learning, el Blockchain y el Token para la construcción del registro de propiedad segura, los Smart Contracts, la innovación para el acceso a la justicia, los métodos de resolución alternativa de conflictos, los métodos digitales en las cortes públicas, el design thinking y la transformación en un abogado digital. Luego, se describirán las ramas de las IA denominadas redes neuronales, robótica y sistemas jurídicos expertos, esta última, integrada por los modelos de reglas de producción y positivista explícito subyacente, los modelos constructivista, conexionista, de razonamiento jurídico de casos y los sistemas de expertos basado en reglas y en redes neuronales; para luego, pasar al análisis de la nueva rama del derecho denominada cibernética jurídica y su objeto de estudio, para lo cual, se describirán las características y elementos de sus disciplinas auxiliares como lo son la jurimetría, la informática jurídica y la modelística jurídica. De esta forma, se podrá presentar una tesis acerca del estatus jurídico especial de la IA, los atributos de su personalidad desde la perspectiva de los derechos civiles, el proceso cognitivo de generación de identidad propia, la facultad de autodeterminación, la extinción de su personalidad y las implicaciones éticas. metadata Zabala Leal, Tatiana Dulima mail penguin1596@hotmail.com (2024) Desafíos de la regulación de la Inteligencia Artificial y sus aplicaciones desde la perspectiva del Derecho. Doctoral thesis, SIN ESPECIFICAR.
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El presente estudio se propone describir los factores a considerar en el marco normativo de la regulación de la IA en Colombia, relacionados con los actos jurídicos en los que esta podría ser parte; es así, que el presente estudio se hará por medio de una investigación cualitativa fundamentada en el análisis documental y el derecho comparado desde su perspectiva metodológica. Para ello, se partirá por hacer una recopilación histórica de la evolución de la IA en la esfera jurídica y cómo ello dio lugar a la transformación digital del derecho, partiendo desde la IA en la computación, las aplicaciones de servicios legales, el Machine Learning, el Blockchain y el Token para la construcción del registro de propiedad segura, los Smart Contracts, la innovación para el acceso a la justicia, los métodos de resolución alternativa de conflictos, los métodos digitales en las cortes públicas, el design thinking y la transformación en un abogado digital. Luego, se describirán las ramas de las IA denominadas redes neuronales, robótica y sistemas jurídicos expertos, esta última, integrada por los modelos de reglas de producción y positivista explícito subyacente, los modelos constructivista, conexionista, de razonamiento jurídico de casos y los sistemas de expertos basado en reglas y en redes neuronales; para luego, pasar al análisis de la nueva rama del derecho denominada cibernética jurídica y su objeto de estudio, para lo cual, se describirán las características y elementos de sus disciplinas auxiliares como lo son la jurimetría, la informática jurídica y la modelística jurídica. De esta forma, se podrá presentar una tesis acerca del estatus jurídico especial de la IA, los atributos de su personalidad desde la perspectiva de los derechos civiles, el proceso cognitivo de generación de identidad propia, la facultad de autodeterminación, la extinción de su personalidad y las implicaciones éticas.
| Tipo de Documento: | Tesis (Doctoral) |
|---|---|
| Palabras Clave: | Inteligencia Artificial, Robot, Ciborg, Abogado digital, Smart contracts, heurística, algoritmo y transhumanismo |
| Clasificación temática: | Materias > Ciencias Sociales |
| Divisiones: | Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales |
| Depositado: | 20 Sep 2024 23:30 |
| Ultima Modificación: | 20 Sep 2024 23:30 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/10987 |
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A scalable and secure federated learning authentication scheme for IoT
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Human Activity Recognition in Domestic Settings Based on Optical Techniques and Ensemble Models
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Background/Objectives: The growing integration of Artificial Intelligence (AI) and chatbots in health professional education offers innovative methods to enhance learning and clinical preparedness. This study aimed to evaluate the educational impact and perceptions in university students of Human Nutrition and Dietetics, regarding the utility, usability, and design of the E+DIEting_Lab chatbot platform when implemented in clinical nutrition training. Methods: The platform was piloted from December 2023 to April 2025 involving 475 students from multiple European universities. While all 475 students completed the initial survey, 305 finished the follow-up evaluation, representing a 36% attrition rate. Participants completed surveys before and after interacting with the chatbots, assessing prior experience, knowledge, skills, and attitudes. Data were analyzed using descriptive statistics and independent samples t-tests to compare pre- and post-intervention perceptions. Results: A total of 475 university students completed the initial survey and 305 the final evaluation. Most university students were females (75.4%), with representation from six languages and diverse institutions. Students reported clear perceived learning gains: 79.7% reported updated practical skills in clinical dietetics and communication were updated, 90% felt that new digital tools improved classroom practice, and 73.9% reported enhanced interpersonal skills. Self-rated competence in using chatbots as learning tools increased significantly, with mean knowledge scores rising from 2.32 to 2.66 and skills from 2.39 to 2.79 on a 0–5 Likert scale (p < 0.001 for both). Perceived effectiveness and usefulness of chatbots as self-learning tools remained positive but showed a small decline after use (effectiveness from 3.63 to 3.42; usefulness from 3.63 to 3.45), suggesting that hands-on experience refined, but did not diminish, students’ overall favorable views of the platform. Conclusions: The implementation and pilot evaluation of the E+DIEting_Lab self-learning virtual patient chatbot platform demonstrate that structured digital simulation tools can significantly improve perceived clinical nutrition competences. These findings support chatbot adoption in dietetics curricula and inform future digital education innovations.
Iñaki Elío Pascual mail inaki.elio@uneatlantico.es, Kilian Tutusaus mail kilian.tutusaus@uneatlantico.es, Imanol Eguren García mail imanol.eguren@uneatlantico.es, Álvaro Lasarte García mail , Arturo Ortega-Mansilla mail arturo.ortega@uneatlantico.es, Thomas Prola mail thomas.prola@uneatlantico.es, Sandra Sumalla Cano mail sandra.sumalla@uneatlantico.es,
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