An approach to building a policy for the use of Artificial Intelligence in doctoral research
Keywords:
artificial intelligence, Generative Artificial Intelligence, Doctoral Training, Scientific research, Higher EducationAbstract
Introduction: The implications of Artificial Intelligence have now transcended all spheres of human development, and its potential also comes with significant risks if used uncritically and without legal and ethical regulations, a situation that also applies to the field of scientific research.
Objective: To present a characterization of the criteria of students and professors in the Doctoral Program in Organizational Management at the University of Holguín regarding elements that could be included in a policy for the use of Artificial Intelligence in doctoral research.
Methods: This exploratory study was based primarily on quantitative research methods, through the application of a survey to students and professors of the doctoral program. The sample consisted of 82 students and 36 professors, and the main results of the survey were synthesized.
Results: This paper presents a characterization of how both groups in the sample think about establishing a policy for the use of Artificial Intelligence in doctoral research. It clarifies the main points of agreement as well as those points of rejection by the respondents.
Conclusion: Doctoral students and professors acknowledge the need for regulations governing the use of Artificial Intelligence in doctoral research, but demand that these regulations be clear, applicable, and sufficiently robust to guarantee academic integrity without hindering the research process.
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