Responsible AI usage in research involves multiple dimensions from regulatory compliance to awareness of broader societal impact illustrated in the figure below (Knöchel et al 2024). Responsible AI usage in research involves multiple dimensions from regulatory compliance to awareness of broader societal impact illustrated in the figure below (Knöchel et al 2024). While this "ladder" of principles provides a comprehensive framework, this section focuses on several key relevant considerations. We offer an overview of critical issues, including Disclosure & Transparency, Privacy, Biases, Sustainability Concerns and Key Regulations, with links to further resources if you want to learn more (e.g. European Commissions’ Living guidelines on the responsible use of generative AI in research) .Disclaimer: Please note that this overview is not comprehensive and was last updated on 16 April 2025. Since AI technology and guidelines change quickly, it's important to check for the latest standards beyond what we discuss here. Knöchel et al 2024. Disclosure & Transparency Biases Key Regulations Privacy Sustainability Concerns This article was published on 2025-06-27
