Research Ethics and Integrity in the Artificial Intelligence Era

As artificial intelligence (AI) technologies evolve and integrate into various domains, they present multifaceted ethical challenges that require thorough examination. The rapid advancement of AI raises complex questions about the ethical use of these technologies, particularly in research and academia. Current debates focus on issues such as the potential for AI to compromise academic integrity, the ethical implications of AI-generated content, and the fairness and bias inherent in AI algorithms. Despite a growing body of literature addressing these concerns, there is still a critical need for comprehensive studies that explore the ethical dimensions of AI in research. Existing gaps include a lack of consensus on ethical guidelines and the need for more robust frameworks to ensure responsible AI use. This Research Topic aims to address these gaps by providing a platform for in-depth analysis and discussion.

The Topic Editors encourage the submission of original research articles, review articles, and case studies providing valuable insights into the responsible use of AI technologies in research and academia. Specific topics may include, but are not limited to, the following:

• ethical considerations in the context of AI education and literacy
• ethical implications of using AI algorithms to generate research papers
• challenges and effectiveness of plagiarism detection tools in identifying AI-generated content
• bias and fairness in AI-generated content
• principles of research ethics in the AI era
• publishing and AI
• intellectual property and open source in AI
• AI and social justice
• research ethics education and training in the AI era.

Keywords: Artificial intelligence, Academic integrity, Research ethics, Plagiarism

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.