The challenges and opportunities for ethics in generative artificial intelligence in the digital age

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...

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Main Author: Gabriel Silva-Atencio
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2025-02-01
Series:Dyna
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Online Access:https://revistas.unal.edu.co/index.php/dyna/article/view/117144
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author Gabriel Silva-Atencio
author_facet Gabriel Silva-Atencio
author_sort Gabriel Silva-Atencio
collection DOAJ
description 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.
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spelling doaj-art-5a5e1cb8c45d4eabbfe28335c65f53842025-08-20T02:53:16ZengUniversidad Nacional de ColombiaDyna0012-73532346-21832025-02-019223610.15446/dyna.v92n236.117144The challenges and opportunities for ethics in generative artificial intelligence in the digital ageGabriel Silva-Atencio0https://orcid.org/0000-0002-4881-181XEscuela de Ingeniería Informática, Universidad Latinoamericana de Ciencia y Tecnología (ULACIT), San José, Costa RicaGenerative 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. https://revistas.unal.edu.co/index.php/dyna/article/view/117144project managementgenerative artificial intelligencealgorithmic discriminationethical implicationsalgorithmic justice
spellingShingle Gabriel Silva-Atencio
The challenges and opportunities for ethics in generative artificial intelligence in the digital age
Dyna
project management
generative artificial intelligence
algorithmic discrimination
ethical implications
algorithmic justice
title The challenges and opportunities for ethics in generative artificial intelligence in the digital age
title_full The challenges and opportunities for ethics in generative artificial intelligence in the digital age
title_fullStr The challenges and opportunities for ethics in generative artificial intelligence in the digital age
title_full_unstemmed The challenges and opportunities for ethics in generative artificial intelligence in the digital age
title_short The challenges and opportunities for ethics in generative artificial intelligence in the digital age
title_sort challenges and opportunities for ethics in generative artificial intelligence in the digital age
topic project management
generative artificial intelligence
algorithmic discrimination
ethical implications
algorithmic justice
url https://revistas.unal.edu.co/index.php/dyna/article/view/117144
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