Examinando por Materia "Inteligencia artificial"
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Ítem ¿Algoritmos que tomen decisiones éticas y morales?(Universidad EAFIT, 2019-11-13) Aguirre Eastman, Sebastián; Universidad EAFITÍtem Análisis de la responsabilidad civil en caso de una falla funcional en un vehículo operado con inteligencia artificial que resulte en daños a terceros(Universidad EAFIT, 2024) Tamayo Restrepo, Alejandro; Gil Berrio, Manuela; Villa García, Luis FelipeThis study will examine the implication of Artificial Intelligence (AI) with autonomous vehicles and its legal scopes, focusing on civil liability for functional failures. In addition, it will investigate whether the Colombian regulatory framework is prepared to address potential accidents caused by AI. For this purpose, two main areas will be explored: (i) the functioning of AI and (ii) the legal framework of tort liability in Colombia. Subsequently, the characteristics of AI and its dependence on human instructions will be analyzed to, finally, examine the theory of civil liability proposed by different authors and compare them with the legal perspective of foreign legal systems. This research seeks to understand and address the legal challenges of AI in autonomous vehicles, with the aim of contributing to the development of a fair and equitable legal framework in Colombia.Ítem Análisis de la tendencia de la solución de una interacción con un Chatbot de atención al cliente, basado en análisis de sentimiento y otras variables(Universidad EAFIT, 2023) Flórez Salazar, Luz Stella; Montoya Múnera, Edwin NelsonA chatbot is a program created with artificial intelligence. In the context of customer service, can establish conversations with customers and they are trained to resolve their queries, problems and complaints. A chatbot’s skill to identify when a customer is not meeting their request represents a challenge for companies that currently use this technology. One of the strategies to avoid quitting the conversation for this reason, is to escalate or transfer the conversation to a human agent. Therefore, it is essential to detect when it is time to carry out this escalation. This project evaluates different Natural Language Processing (NLP) techniques, rule-based labeling algorithms, classical supervised machine learning models and a simple neural network for classification, applied to interactions between a customer service chatbot and a user, in order to find a mechanism for automatic labeling of the data and to build a model that can be used to make the decision on whether the customer should continue interacting with the chatbot or if he should be transferred to a conversation with a human agent. The labeling mechanism could also be used to classify historical data, to later train a model. Different models and techniques are evaluated and those with the best performance in detecting the conversations that should escalate to a human agent are presented.Ítem Aproximación a la ética digital hacia un desarrollo socialmente preferible de los sistemas de inteligencia artificial(Universidad EAFIT, 2021) Guzmán Velásquez, Camilo; Lalinde Pulido, Juan Guillermo; Lalinde Pulido, Juan GuillermoÍtem Bases de datos inteligentes(Universidad EAFIT, 1991) Brena, Ramón; Universidad EAFITÍtem ¿Cómo funciona un robot?(2013) Jiménez Franco, Luis David; Velásquez Rendón, David; Abad Restrepo, Ana Cristina; Arango Uribe, María Adelaida; Cardona Berrio, Laura Marcela; Arango Hurtado, CarolinaÍtem El conocimiento es poder entendiendo la correlación entre la información recolectada a través de un perfil de Instagram y el consumo de contenido de forma periódica y repetitiva en dicha plataforma(Universidad EAFIT, 2020) Rieder Monsalve, Paulina; Toro Valencia, Jose AlbertoLife in the XXI century happens trought Internet, and more specifically, trought social media. This plataforms attract users attention by costumization of content, wich is constructed from the knowledge extracted in the data mining process thanks to the personal data that every user yields with the use of the service. The purpose of personalization is the augmentation of time spent online thus, the amount of personal data given. This data is the fundamental asset to digital economy. Due to the wide knowledge derived from data mining and the profound social incertion that social media has, users get trapped onto a asimetric power relationship with the companies that provide this service wich directly impacts rights such as privacy. Even though privacy has international and national regulations, its guideline is not appropiate to face the current challenges.Ítem El currículo de un sistema tutorial inteligente(Universidad EAFIT, 1993) Atuesta Venegas, María; Universidad EAFITÍtem Demand forecasting in a manufacturing company, comparing traditional statistical and artificial intelligence models(Universidad EAFIT, 2022) Vásquez Jaramillo, Daniela; Castro Zuluaga, Carlos Alberto; Almonacid Hurtado, Paula MaríaÍtem El derecho al control humano en la inteligencia artificial : una propuesta de regulación del control humano como un nuevo derecho en el ordenamiento jurídico colombiano(Universidad EAFIT, 2021) Sánchez Vásquez, Carolina; Díaz Diez, Cristian AndrésArtificial intelligence is one of the greatest technological developments of the 21st century and it has the ability to have a positive, but also negative, impact on human life. In this way, the use of artificial intelligence systems can result in the violation of fundamental rights such as equality, privacy, correct process and freedom of expression. In this scenario, the Law needs to respond to the new challenges that arise and offer avant-garde legal responses. One of them is the recognition of human control as a new right to guarantee oversight in the design and development of these systems in order to avoid affecting other existing rights.Ítem Desarrollo de librería para manejo de redes neuronales en Java para tecnofactor(Universidad EAFIT, 2019) Arboleda Echeverry, Juan Camilo; Rincón Bermúdez, Rafael DavidThe aim of the present project is to design and develop a working library that enables the creation and adaptation of Neural Networks, defined in a way that is simple to use by Java developers. The developed library will be used to design and obtain a neural network capable of recognizing handwritten digits, from the MNIST database.Ítem Diseño de un modelo de decisión para la retención del capital humano en el sector Business Process Outsourcing (Bpo) : el caso de Konecta-Colombia(Universidad EAFIT, 2021) Muñoz Mora, Cristian David; Muñoz Mora, Juan CarlosÍtem Efectos de la inteligencia artificial en el mantenimiento de los sesgos cognitivos(Universidad EAFIT, 2019) Montoya Gutiérrez, Santiago Andrés; Lemos Hoyos, MariantoniaÍtem Empatía y toma de decisiones en la entrevista de selección de personal : una aproximación teórica(Universidad Eafit, 2020) Restrepo Correa, Alejandra; Manrique Tisnés, HoracioObjective: stablish the importance of empathy on decision making in the process of em-ployee’s selection with the propose of contribute to the knowledge generated towards a subprocess of selection in the human management areas. Method: the present investigation has a qualitative and hermeneutical approach, and it will be made through a comprehensive interpretation of the theoretical speeches of empathy, decision making, and selection process based on a documentary review. Investigation question: Is the empathy an influencing factor on the decision making of the selection process? Results: Propose an alternative selection process were the empathy is included on the decision making for the human management.Ítem En busca de un mayor bienestar en la ganadería de ceba y levante(2021-04-05) Martinez Guerrero, Christian Alexander; Christian Alexander Martinez-Guerrero; Garcia, Rodriguez; Aguilas Jose; Toro Mauricio; Pinto Angel; Rodriguez Paul; Vicerrectoría de Descubrimiento y CreaciónÍtem Estudio de prefactibilidad de un proyecto de información con inteligencia artificial, para empresas clientes de una entidad financiera(Universidad EAFIT, 2019) Ortiz García, Jorge Mario; Ciro Parra, Jefferson Ferney; Gómez Salazar, Elkin ArcesioThe purpose of this research is to evaluate the pre-feasibility studies elaborated for the creation of a service that uses analytics and Artificial Intelligence (AI), oriented to provide information and recommendations to the shops that have contracted with Bancolombia S. A. the sales service with debit and credit cards. There is a great opportunity to generate value for the commercial sector through the processing of the information produced in the transactions made in POS (point of sale) and its join with the customer databases that the bank already has. Furthermore, are considered technologies that have taken great relevance in the last decade, such as analytics and Artificial Intelligence, because of the abundance of processable data that arise daily. In the first stage were consulted in the literature the backgrounds, generalities and advances that have occurred in both technologies, as well as their implementations, to have a general overview of their evolution and to know their scopes; later, to carry out the research, the viability of a project was evaluated through pre-feasibility studies of the UNIDO methodology. The studies covered by such methodology include the analysis of the national environment and the specific sector in which the project is to be developed, the market that exists for the service that is intended to be created, the technical characteristics necessary to carry it out, the staff, their academic background and the professional experience needed to be able to participate in the project, the financial properties that must be kept in mind and the risk management to prevent negative impacts on their implementation. All previous is complemented to build a perspective that allowed us to make the best decision regarding carrying out the project or to desist in such endeavor.Ítem El fenómeno del legaltech : desafíos y oportunidades para la educación jurídica en Colombia(Universidad EAFIT, 2022) Ospina Ramírez, Yulissa; Castro Carmona, Stefanía; Toro Valencia, José AlbertoÍtem Fusión de dos tecnologías: ingeniería del conocimiento (IC) + multimedia (MM)(Universidad EAFIT, 1994) Henao Calad, Mónica; Solórzano, Bertha; Universidad EAFITÍtem Genomic Prediction and Genome-Wide Association Analysis in Common Bean (Phaseolus vulgaris l.) × Tepary bean (P. acutifolius a. gray) Inter-specific Advanced Lines at the Caribbean Coast of Colombia(Universidad EAFIT, 2023) López Hernández, Luis Felipe; Villanueva Mejía, Diego Fernando; Cortés Vera, Andrés JavierThe negative effects of the climate change are risking global food security with 828 million people facing hunger, which is almost 16 times the population of Colombia. Given this scenario, legumes as common bean has offered a nature-based solution to source nutrients for rural communities in Latin America thanks to their high content of nutrients. For this reason, it is imperative to speed up the molecular genetic breading of common beans so that they can be cultivated in regions affected by extreme climate change, one of which is coastal Colombian. Therefore, in order to bridge this gap, this study aimed coupling an advanced panel of common bean (Phaseolus vulgaris L.) × tepary bean (P. acutifolius A. Gray) inter-specific lines with Bayesian regression algorithms to identify novel sources of adaptation to the humid and dry sub-regions at the Caribbean coast of Colombia, where common bean typically exhibits maladaptation to extreme heat waves. A total of 87 advanced lines with inter-specific ancestries were genotyped by sequencing (GBS), leading to the discovery of 15,645 single-nucleotide polymorphism (SNP) markers. Three yield components and two biomass variables were recorded for each genotype and inputted in several Bayesian regression models to identify the top genotypes with the best genetic breeding values across three localities in coastal Colombia. We explored the comparative analysis of several regression approaches where the model with the best performance in all traits and environments was BayesC. Also, we compared the utilization of all markers and only those determined as associated by a priori GWAS models. Better prediction ability with the complete SNP set was indicative of missing heritability as part of GWAS reconstructions. Furthermore, optimal SNP sets per environment and trait were determined to the top 500 most explicative markers according to their β regression effects. These 500 SNPs on average overlapped in 5.24 % across localities, which reinforced the environmentally dependent nature of polygenic adaptation. Finally, we retrieved the genomic estimated breeding values (GEBVs), and selected the top 10 genotypes for each environment and trait as part of a recommendation scheme targeting narrow adaption. The genotypes and SNP markers identified in this study as candidates for abiotic stress have the potential to be used in the following cycles as part of the long-term bean breeding program for coastal tropical regions.Ítem Identificación y aplicación de inteligencia artificial en casos de uso basados en gestión de proyectos(Universidad EAFIT, 2024) Saavedra Urbano, Paula Andrea; Loaiza Zapata, Yurani; Garnica Barraza, Ernesto José; Cruz Sanabria, Jesús Andrés