In the domain of research, generative AI stands out as a transformative force, employing advanced algorithms to generate new insights and data interpretations from large-scale datasets. This rapidly evolving field is reshaping research methodologies, offering both remarkable opportunities and posing unique challenges. Critical to its integration in research is a deep understanding of the ethical and legal considerations involved. The provided interim guidance document serves as a valuable resource, offering researchers and scholars essential insights and guidelines to ensure that their use of generative AI in research settings adheres to ethical standards and complies with legal regulations. It is imperative to fully recognize and navigate the potential risks associated with the deployment of generative AI.
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Security and Ethical Considerations for Non-U.S. Generative AI Tools | March 07, 2025 |
Major scientific journals have guidelines for using AI and large language models in research, with some adopting prohibitive stances while others embrace their use, emphasizing risk and responsibility. Authors must transparently disclose AI involvement, detailing the specific models and tools used, and ensure content integrity. For detailed policies on AI and LLM use from each journal, refer to the specific journal guidance. To find some examples of guidance, you can visit the websites of the following journals: