Guidance for Researchers

In alignment with our commitment to honoring authorship, privacy and data governance, all information must be handled with care. Diligently evaluate the classification of data you are working with (e.g., public, confidential, research) and recognize that each category requires distinct handling protocols when utilizing generative AI. Data should only be entered into an AI system with a complete understanding of its compliance with appropriate security and privacy measures, and with the expressed consent of stakeholders and authors in cases where intellectual property is concerned.

Users are responsible for the AI-generated content generated, ensuring it is updated and meets our highest accuracy standards. All AI-generated products should undergo thorough review to maintain the integrity and excellence of our work.

Review requirements of journal publishers, reviewers and recipients of the final product, ensuring that work is being cited appropriately.

AI users will prioritize creating outputs that are accessible to all, fostering an environment of equity and diversity. Users should strive to be thoughtful and critically reflective of AI biases to ensure fairness and non-discrimination in all AI-driven endeavors.

Users should commit to remaining up-to-date with AI technology developments and university guidelines to address emerging risks and improvements.

Before adopting any AI tool, it must be vetted for its reliability, security and alignment with MSU's ethical values. This includes consulting with information technology (IT) professionals and adhering to privacy, security policies and environmental responsibility. More information can be found in the IT Product/Solution Review.

AI tools should be documented, including their purposes, the rationale for their selection and the outcomes they intend to achieve. This documentation will facilitate accountability and continuous improvement.