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<p>The integration of Artificial Intelligence (AI) within higher education has given rise to substantial ethical concerns and challenges, including concerns regarding data privacy, equity in educational resources, and algorithmic biases. These factors have the potential to compromise the integrity of academic processes. In light of this, the study aims to analyze the perceptions of students and faculty members about the ethical challenges associated with the use of AI in universities. The methodology employed was non-experimental quantitative, with the questionnaires being designed according to Luciano Floridi’s algorithmic theory. The study’s participants 890 university students and 162 faculty members from 21 higher education institutions in Peru. Results indicate that 51.2% of faculty and 47.5% of students expressed concern about data privacy and security. Moreover, a significant proportion of respondents, 61.1% of faculty and 53.5% of students, believed that AI systems lack transparency. These findings highlight the urgent need for regulatory frameworks that promote ethical AI use, ensure equitable access, and safeguard academic autonomy. It is essential for universities to implement concrete measures, including ethical oversight mechanisms, audit protocols, and digital literacy training programs, to maximize the benefits and mitigate the risks of AI in education.</p>

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Ethical Challenges Associated with the Use of Artificial Intelligence in University Education

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月1日

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  • Yuri Reina Marín,
  • Omer Cruz Caro,
  • Angelica María Carrasco Rituay,
  • Katia Araceli Guimac Llanos,
  • Doris Tarrillo Perez,
  • Einstein Sánchez Bardales,
  • Judith Nathaly Alva Tuesta,
  • River Chávez Santos

摘要

The integration of Artificial Intelligence (AI) within higher education has given rise to substantial ethical concerns and challenges, including concerns regarding data privacy, equity in educational resources, and algorithmic biases. These factors have the potential to compromise the integrity of academic processes. In light of this, the study aims to analyze the perceptions of students and faculty members about the ethical challenges associated with the use of AI in universities. The methodology employed was non-experimental quantitative, with the questionnaires being designed according to Luciano Floridi’s algorithmic theory. The study’s participants 890 university students and 162 faculty members from 21 higher education institutions in Peru. Results indicate that 51.2% of faculty and 47.5% of students expressed concern about data privacy and security. Moreover, a significant proportion of respondents, 61.1% of faculty and 53.5% of students, believed that AI systems lack transparency. These findings highlight the urgent need for regulatory frameworks that promote ethical AI use, ensure equitable access, and safeguard academic autonomy. It is essential for universities to implement concrete measures, including ethical oversight mechanisms, audit protocols, and digital literacy training programs, to maximize the benefits and mitigate the risks of AI in education.