What type of study is this?

This is a Systematic Review study (also classified as: Literature Review).

Integration of generative artificial intelligence into higher education research as a supporting tool: A balance between innovation and ethics in research

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This review examines ethical challenges and benefits of generative artificial intelligence in higher education research, revealing critical insights.

Balancing innovation with ethical considerations is crucial in higher education research using GAI, ensuring integrity.
The analysis highlighted significant risks related to data privacy, algorithmic bias, and transparency issues in GAI applications.
A systematic review assessed findings from 31 selected papers which explored ethical implications of GAI in academic settings.
Guidelines were proposed to enable responsible integration of GAI, emphasizing the need for ethical standards in research.

Muchaku et al. (2025) studied this question.

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This review examines ethical challenges and benefits of generative artificial intelligence in higher education research, revealing critical insights.