Generative AI Policy

Areas of Use and Risks
GenAI has the potential to assist researchers at various stages of the research process, such as conducting literature searches, generating preliminary ideas, analyzing data, creating visualizations, and preparing draft reports. However, researchers must remain highly alert to the associated risks, including the possibility of AI generating false or fabricated information (“hallucinations”), reproducing biases present in its training data, having limitations in reasoning, creating the potential for content plagiarism, and, above all, the risk of breaching data confidentiality if used improperly.

How to Maintain Research Integrity

• Preventing Fabrication and Falsification: Using AI to create fictitious data, manipulate experimental results, or present inaccurate AI-generated analytical results, whether intentionally or due to failure to verify them, constitutes data fabrication or falsification.
• Conducting Verification: Researchers must carefully verify outputs generated by GenAI, including text, analytical results, computer code, citations, and other outputs.
• Being Transparent About the Use of GenAI: Researchers must document the use of AI in their research. Such documentation must include the name and version of the AI tool, the date of use, the specific prompts provided, how the AI output was used, and the verification steps taken.
• Complying with Publication Journal Requirements: Researchers are expected to properly comply with the requirements set by the journals to which they submit their work for publication.

Authorship
AI is not recognized as an Author: GenAI tools (such as ChatGPT, other large language models (LLMs), or image generators) cannot be listed as authors of scholarly publications, research reports, or other academic works.