Dartmouth College, the birthplace of Artificial Intelligence and site of the 1956 Dartmouth Summer Research Project on Artificial Intelligence, offers our students, faculty, and staff resources and the latest tools for using generative artificial intelligence (GenAI) in teaching and learning and in research.
Dartmouth's DALI Lab Creates "Greta 2.0," a Kiosk-style AI Chatbot for Northern Stage's production of Sisters
chat.dartmouth.edu: Free access to ChatGPT, Claude, and Locally-Hosted Open Models.
AI and GenAI at Dartmouth News and Events
Generative artificial intelligence (GenAI) refers to contemporary machine learning systems that can create new content in response to prompts by sampling from a model that has learned patterns from training data. Tools like OpenAI’s ChatGPT, Google’s Gemini, or Anthropic’s Claude are well-known GenAI applications that use large language models (LLMs) trained on vast amounts of data to generate coherent, human-like text in response to user prompts. LLMs have shown impressive capabilities in tasks like summarization, text creation, and code generation. Increasingly, GenAI systems have become multimodal, allowing for the processing and generation of images, sound, and multimedia
These new tools create exciting opportunities for students, researchers, and staff at Dartmouth, but it is important to understand how these tools work, when they might be appropriate, and what their limitations are. On this site, you will find regularly updated guidance for students, faculty, and staff. These roles are not necessarily mutually exclusive, so some material is repeated and everyone is encouraged to explore them all.
Given Dartmouth’s research and teaching mission, it is important to note that the use of current AI tools raises ethical and privacy concerns that users should consider. Large language models and machine vision tools are trained using openly available training sets, which can lead to biased models and intellectual property concerns. These models are also “trained” by humans, sometimes under exploitative working conditions. When using ChatGPT or similar AI assistants, users need to be mindful of the data they are sharing, as sensitive or private information may be used to further train the AI models. There are also worries about the significant energy usage and environmental impact of running these large, compute-intensive language models.
Overall, generative AI tools represent an exciting technological advancement, but their use requires careful consideration of the ethical and practical implications.
This site brings together resources relevant to generative AI for Dartmouth students, faculty and staff. Inclusion on these pages does not mean that a given resource is sponsored or endorsed by Dartmouth. In particular, students are advised to take note of individual faculty policies for their course work. Everyone should learn about the data policies governing a given AI tool, and observe Dartmouth’s data privacy policies.