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The challenges and opportunities for ethics in generative artificial intelligence in the digital age
Retos y oportunidades de la ética en la inteligencia artificial generativa en la era digital
DOI:
https://doi.org/10.15446/dyna.v92n236.117144Palabras clave:
project management, generative artificial intelligence, algorithmic discrimination, ethical implications, algorithmic justice (en)gestión de proyectos, inteligencia artificial generativa, discriminación algorítmica, implicaciones éticas, justicia algorítmica (es)
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Generative Artificial Intelligence (GenAI) emerged as a prominent tool in early 2023, renowned for its capability to generate unique texts and images from minimal input. Despite its growing popularity, the ethical implications of this technology remain under-explored. This study aimed to examine the ethical dimensions of GenAI, particularly focusing on the guidelines necessary during the lifecycle of the algorithms that drive it. We employed a qualitative, non-experimental, descriptive, and exploratory methodology. A comprehensive bibliometric analysis encompassed one hundred and fifty bibliographic references. The analysis highlighted significant concerns regarding algorithmic discrimination, justice, data privacy, and the inherent risks associated with this nascent technology. The findings reveal a pressing need for robust protocols to govern the development of GenAI applications to mitigate risks such as algorithmic bias and privacy breaches. Without such frameworks, the broader social and economic impacts of GenAI pose substantial challenges. This paper concludes by discussing the profound ethical implications of digital platforms driven by Generative Artificial Intelligence.
La Inteligencia Artificial Generativa (GenAI) surgió como una herramienta destacada a principios de 2023, famosa por su capacidad para generar textos e imágenes únicos a partir de entradas mínimas. A pesar de su creciente popularidad, las implicaciones éticas de esta tecnología siguen siendo poco exploradas. Este estudio pretende examinar las dimensiones éticas de la GenAI, centrándose especialmente en las directrices necesarias durante el ciclo de vida de los algoritmos que la impulsan. Se empleó una metodología cualitativa, no experimental, descriptiva y exploratoria. Se llevó a cabo un análisis bibliométrico exhaustivo que abarcó ciento cincuenta referencias bibliográficas. El análisis puso de manifiesto preocupaciones significativas en relación con la discriminación algorítmica, la justicia, la privacidad de los datos y los riesgos inherentes asociados a esta tecnología naciente. Los resultados revelan una necesidad acuciante de protocolos sólidos que rijan el desarrollo de aplicaciones GenAI para mitigar riesgos como el sesgo algorítmico y las violaciones de la privacidad. En ausencia de tales marcos, los impactos sociales y económicos más amplios de GenAI plantean desafíos sustanciales. Este documento concluye debatiendo las profundas implicaciones éticas de las plataformas digitales impulsadas por la Inteligencia Artificial Generativa.
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