The Role of Artificial Intelligence in Data Science: Theoretical Perspectives and Emerging Challenges

The article explored how Artificial Intelligence (AI) and Data Science have revolutionized the creation and analysis of information by integrating advanced methodologies that overcome traditional barriers in the interpretation of complex data. Fundamental concepts and current technical and ethical c...

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Detalles Bibliográficos
Autores: Reyes Risco, Anthony JeanPaul, De La Cruz Gamarra, Juan Aurelio, Torres Villanueva, Marcelino
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:Perú
Institución:Universidad La Salle
Repositorio:Revistas - Universidad La Salle
Idioma:español
OAI Identifier:oai:ojs.revistas.ulasalle.edu.pe:article/208
Acceso en línea:https://revistas.ulasalle.edu.pe/innosoft/article/view/208
https://doi.org/10.48168/innosoft.s23.a208
https://purl.org/42411/s23/a208
https://n2t.net/ark:/42411/s23/a208
Access Level:acceso abierto
Palabra clave:AutoML
Big Data
Data Science
Algorithmic Ethics
Artificial Intelligence
Predictive Models
Ciencia de Datos
Ética algorítmica
Inteligencia Artificial
Modelos Predictivos
Descripción
Sumario:The article explored how Artificial Intelligence (AI) and Data Science have revolutionized the creation and analysis of information by integrating advanced methodologies that overcome traditional barriers in the interpretation of complex data. Fundamental concepts and current technical and ethical challenges were addressed, highlighting the automation of the analytical lifecycle through AutoML, the implementation of explainable models and the management of algorithmic biases. The research also examined the limitations of AI in processing unstructured data and its interaction with emerging technologies such as blockchain and quantum computing. The results highlighted the importance of establishing regulations that guarantee the balance between technological innovation and the protection of human rights in a context of big data and automated decisions. It concludes by emphasizing that the impact of AI transcends the technical, consolidating it as an engine of interdisciplinary progress, promoting both the progress of human knowledge and sustainable practical applications, always under ethical and regulated approaches.