Towards a culture of ethical engagement of artificial intelligence in research

Abstract

Artificial intelligence (AI) is transforming the research process by reshaping how knowledge is generated, analyzed, and communicated. While AI enhances efficiency and opens new possibilities, it also introduces ethical challenges of authorship, accountability, bias, and trust. This paper emphasizes the need to move beyond compliance with policies toward building a culture of ethical engagement. Such a culture integrates ethics within scholarly identity and institutional practices through awareness, reflexivity, transparency, and inclusivity. Researchers must disclose and reflect on their use of AI tools, while institutions, journals, and funders share responsibility for ensuring literacy, fairness, and accountability. Embedding ethical reflection into training, peer review, and reward systems can help shift behavior from rule-following to genuine commitment. Developing a culture of ethical engagement ensures that the use of AI in research remains grounded in human integrity, critical judgment, and social responsibility.

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