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Dartmouth Launches New Courses on Artificial Intelligence

AI in Education EditorialUpdated June 2, 20261 min readRead source
Dartmouth Launches New Courses on Artificial Intelligence
🇺🇸US👨‍🎓Students🎯Learning AI📚Computer Science👩‍🏫Teachers🏛️Administrators+9 more

Skip to main content Search search More news Articles Dartmouth Launches New Courses on Artificial Intelligence News subtitle An array of programs and classes bridge tech and human wisdom across campus. Image Image Students at Tuck School of Business participate in a recent vibe coding session, just one of a myriad of options for students across Dartmouth to learn how to use artificial intelligence thoughtfully and responsibly.

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How should universities govern AI use by students?
Effective university AI governance establishes clear principles (transparency, integrity, equity) before prescribing specific rules, involves faculty and students in policy development, provides training for all stakeholders, and reviews policies annually as AI capabilities evolve. One-size-fits-all bans are widely considered less effective than contextual guidance.
What is the current state of AI policy at universities?
Most major universities have issued some form of AI guidance, ranging from general principles to detailed course-level policies. Surveys show significant inconsistency: students report receiving conflicting messages from different instructors. Institutions that have invested in centralized guidance and training report better compliance and fewer integrity disputes.
How are universities using AI to improve student outcomes?
Universities deploy AI for early-alert systems that identify at-risk students before they drop out, personalized degree planning tools, AI tutoring in high-enrollment gateway courses, and writing centers that use AI feedback to scale human tutor reach. Georgia Tech's AI teaching assistant Jill Watson is among the most studied implementations.
What does the EU AI Act mean for university AI policy?
Under the EU AI Act, AI systems used for evaluating educational performance or determining access to educational institutions are classified as high-risk, requiring detailed documentation, human oversight mechanisms, and transparency to affected individuals. EU universities must ensure any AI-assisted grading or admissions tools comply with these requirements by 2026.