Descripción de los riesgos y desafíos para la integridad académica de aplicaciones generativas de inteligencia artificial

From the perspective of a descriptive analysis, and as a starting point to a new research line, this paper examines the potential impact Generative Artificial Intelligence (GAI) technologies may have on academic integrity, manifested in the learning and evaluation processes of law classes at the uni...

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Detalles Bibliográficos
Autor: Navarro-Dolmestch, Roberto
Tipo de recurso: artículo
Fecha de publicación:2023
País:Perú
Institución:Pontificia Universidad Católica del Perú
Repositorio:PUCP-Institucional
Idioma:español
OAI Identifier:oai:repositorio.pucp.edu.pe:20.500.14657/196627
Acceso en línea:https://revistas.pucp.edu.pe/index.php/derechopucp/article/view/26654/25802
https://doi.org/10.18800/derechopucp.202302.007
Access Level:acceso abierto
Palabra clave:Academic Integrity
Artificial Intelligence
Automatic Text Generation
Chatbot
ChatGPT
Integridad Académica
Inteligencia Artificial
Generación Automática de Texto
https://purl.org/pe-repo/ocde/ford#5.05.01
Descripción
Sumario:From the perspective of a descriptive analysis, and as a starting point to a new research line, this paper examines the potential impact Generative Artificial Intelligence (GAI) technologies may have on academic integrity, manifested in the learning and evaluation processes of law classes at the university level. The article takes as its premise the definition of academic integrity as a set of values and argues that a series of risks arise from the GAI that threaten those values, such as excessive dependence and trust in the GAI, the unreallizability of the pedagogical project and the loss of competitiveness of educational institutions, among others. To minimize or nullify such risks, and thus prevent them from affecting academic integrity, four mitigation measures are identified to be applied in university environments.