Generative AI & Research

This guide is meant to be a resource for Dartmouth students, faculty, and staff to learn more about Generative AI and the potential use in the research process and academic publishing. Generative AI tools can be a useful addition to your research process. New tools are constantly emerging and existing tools continue to evolve. It is important to think critically about the tools you use. While you don't need to understand the underlying technology of how the tools work, you do need to know the basic premise of how they function and for many tools, what information they are drawing from.

Association of Research Libraries: Guiding Principles for Artificial Intelligence

In April of 2024, ARL released these principles that guide how Dartmouth Libraries approaches artificial intelligence.

1. Libraries democratize access to artificial intelligence tools and technology to foster digital literacy among all people.
2. Libraries commit to understanding where distortions and biases are present in AI models and applications.
3. Libraries champion transparency and information integrity.
4. Libraries believe “no human, no AI.”
5. Libraries prioritize the security and privacy of users in the use of AI tools, technology, and training data.
6. Libraries assert that copyright law in the US and Canada is flexible and robust enough to respond to many copyright issues that arise from the intersection of technology and artificial intelligence. 
7. Libraries negotiate to preserve the scholarly use of digital information.

Click on the link below for the statement which provides greater detail.

Dartmouth Libraries plan workshops and events focused on generative AI. As new events are prepared each term, you will find the events listed here.