AI at ��Ƶ

In a world powered by AI, ��Ƶ graduates stand apart.

AI changes the conditions of learning, but it does not change its purpose. At ��Ƶ, we seek to integrate AI thoughtfully into the practices of liberal arts traditions of inquiry, reflection, and critical thinking. ��Ƶ students are equipped with the skills and judgment they will need as they pursue lives of consequence in an AI-inflected world.

When tools can generate answers, the differentiator becomes the human user of those tools.

AI Around Campus

As AI’s momentum speeds up, ��Ƶ researchers and visionaries are racing to address issues around sustainability, ethics, and how best to use the tool for the benefit of humankind.

Read our stories

Professor of physics, Ken Segall, is rethinking how computer chips are built to solve AI's energy crisis.

Sebastian Tamburro writing on a chalkboard

Sebastian Tamburro ’26 started the AI Club AI Club where students practice their AI skills and learn from peers.

A group of professors look at another's laptop

Picker ISI's hosted a training workshop to learn how AI machine-learning skills can assist with their existing research.

Playwright Richard Maxwell collaborated with CS students during his artist residency to develop an AI robot.

Panelists sit on a stage with microphones

Faculty and alumni with a tremendous depth of knowledge about AI shared their insights about creativity during an ACI Weekend panel.

1. Human-Centered Learning Comes First

We build the foundations of thinking, writing, and problem-solving.

Early coursework emphasizes original thinking and desirable difficulty.
Faculty introduce AI intentionally to deepen — not shortcut — understanding.
Students develop habits of mind that position AI as a partner in inquiry.

2. AI Within the Curriculum

All students engage with AI in meaningful, guided ways throughout their education.

Students encounter AI across disciplines and learning settings.
Educators guide students in using AI to research, analyze, create, and iterate.
AI is both a tool and a subject — students discover its capabilities, limits, and consequences.
Tools include locally hosted AI-powered web applications for transcription, translation, code development, image object detection, and more.

3. AI in Research and Innovation

Faculty lead the thoughtful integration of AI into research and creative work, including:

the use of AI as a tool to generate new forms of artistic expression — under the Arts, Creativity and Innovation Initiative.
discipline-specific experimentation in research and AI-enhanced scholarship.
investment in people, tools, and time to explore emerging practices.

4. AI Beyond the Classroom

Students develop AI fluency through applied, real-world experiences, such as:

micro-credential skill opportunities and partnerships like the Dartmouth-Tuck Bridge Program.
career-connected experiences that build confidence in using AI effectively and ethically.
modules that include AI Agents in Action; AI for Image Manipulation; and Google Gemini, Gemini Notebook, and Workspace Studio Automation.

How This Shows Up at ��Ƶ

• A coordinated, campuswide commitment to responsible innovation

• Guided use of AI across academic and co-curricular experiences

• Emphasis on process: drafting, revision, and active engagement

• Shared tools and institutional frameworks that support teaching and research

• Clear policies and expectations for AI use, grounded in the Honor Code

The Outcome

With habits of mind cultivated through a liberal arts education, ��Ƶ graduates are prepared to:

• use AI as an assistive technology to amplify their abilities thoughtfully and effectively.

• think independently and critically in an AI-shaped world.

• understand the ethical, social, and global implications of emerging technologies.

• lead with purpose, creativity, and humanity.

The value of a ��Ƶ education lies not in arriving at answers more quickly, but in developing the insight to ask better questions, and the skill to make effective use of emerging technologies.

In a world where more can be automated, the ��Ƶ graduate will stand apart not just for technical sophistication but also for what is distinctly human: judgment, intention, and the capacity to navigate complexity with clarity and purpose.