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Across campus, scholars balance the promise of autonomous AI with its pitfalls.
1956
Defining the Field of AI
In the summer of 1956, a small group of mathematicians and scientists gathered at Dartmouth to deliberate whether human intelligence could be recreated in a machine. Here, in classrooms and corridors, the term “artificial intelligence” was coined, debated, and defined for the first time.
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2026
What Must Remain Human?
Dartmouth will convene an anniversary conference to continue the conversation—this time focused not on what AI can do, but on what humans must do in its presence. The original workshop asked how machines could think. This one asks a different set of questions: Where does AI improve human judgement and where does it fall short? Where should it never replace human judgement? Who is accountable when it fails? And what does AI cost us?
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(Photo by Katie Lenhart)
Conference Schedule & Livestream
Three days of keynotes, panels and short-form talks, built for dialogue. Our speakers come from different fields, and they don’t always share the same view of AI’s value, the costs, and its limits.
Latest News
View NewsAI in Career Design: Empathy, Strategic Pivots, and Human Skills
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Joe Catrino, executive director of the Center for Career Design, talks on a podcast about how design thinking can help students build self-awareness and emphasizes the importance of pairing AI fluency with durable human skills.
New Era Academia
Detecting Deepfakes, in a World Where Even Reality Is Suspect
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Hany Farid, a professor of computer science, is featured on Sunday Morning discussing the growing difficulty of detecting deepfakes and his concerns about people living in their own “information ecosystem.”
CBS News
Danielle Boyer Champions Ethical and Inclusive Innovation
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From robotics to advocacy, the Indigenous inventor shares what drives her work.
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