Policies, Bias, and Responsible Use

Overview  

Generative AI (Artificial Intelligence) can be a powerful tool for teaching, learning, and working more effectively and efficiently. As such, Dartmouth has invested significantly in Dartmouth Chat, our community’s fully-featured online chat platform.

While we encourage members of our community to utilize Dartmouth Chat as part of their day-to-day work, we ask users to be be informed about its effective and responsible use. The following provides some background on generative AI and points to some relevant Dartmouth resources.

Bias  

AI models are trained using human-generated data, which often reflects existing prejudices, stereotypes, and specific world views. This bias can be further reinforced by how data used to train the model is selected and labeled, as well as by how models and return algorithms are designed and implemented.

It is important to note that while some biases might align with yours, you might find others to be objectionable. Through prompting, you can influence these biases to some degree, both intentionally and unintentionally.

In short, be aware of model bias and seek to apply your understanding and critical thinking skills to your use of these tools and the information they provide.

Policies and Responsible Use  

While the benefits provided by Dartmouth Chat and similar platforms can be significant, so are your responsibilities. It is encumbant on all users to think critically and act responsibly when using GenAI.

You can find resources below that provide background on the underlying technology, discussions about its benefits, and explicit policies about its use at Dartmouth. Please review these resources carefully and seek out clarification if you have questions.

Resources  

Whether you are student, faculty, or staff member, the College has an extensive library of resources designed to provide an overview of GenAI’s capabilities as well as guidelines for its acceptable use:

  • For Students:

  • For Faculty:

  • For Staff:

  • For Everyone:

    • Dartmouth Libraries. 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.
    • Tuck. Guidelines to help the Tuck community navigate the evolving landscape of generative AI tools responsibly and effectively.

Didn’t find what you needed? Please reach out to research.computing@dartmouth.edu.