Ethical integrity, generative artificial intelligence, and higher education.
Tensions, challenges and pedagogical horizons.
DOI:
https://doi.org/10.32870/punto.v12i23.322Keywords:
academic integrity, generative artificial intelligence, applied ethics, higher education, teaching ethosAbstract
The overall aim of this article is to carry out a critical analysis of the ethical, pedagogical and institutional implications that generative artificial intelligence raises for academic integrity in higher education. The text is conceived as a critical-argumentative essay, drawing on a critical review of specialist literature and an analysis of recent ethical, regulatory and institutional frameworks.
The text argues that the challenges posed by generative AI can only be addressed in part, and not through regulations, prohibitions or detection systems, as the impacts affect the educational purpose of the university, assessment, authorship, epistemic justice and responsibility for knowledge. Similarly, the paper considers it necessary to strengthen the teaching ethos, reconsider assessment practices and promote ethical training for both teaching staff and students.
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