Dartmouth hosted a two‑day “AI at 70: What Must Remain Human?” conference on Oct. 29‑30 to mark the 70th anniversary of the 1956 Dartmouth Summer Research Project and examine how human judgment should shape the future of artificial intelligence.
More than 1,000 people registered for the event, which featured 36 scheduled sessions across campus and generated over 23,000 livestream views as of Nov. 2, according to College spokesperson Amy Olson.
The conference was organized by the Faculty Leadership Group on Artificial Intelligence, established in fall 2025 at the request of the Office of the Provost to develop an AI strategy that advances Dartmouth’s mission while identifying where deliberate restraint is needed to protect its values.
Speakers included engineering professor Peter Chin, Board chair Gregg Lemkau, Thinking Machines Lab CEO Mira Murati, Senator Kirsten Gillibrand, dean Douglas Van Citters, and numerous other scholars and executives who addressed AI’s impact on creativity, education, medicine, national security, workforce policy, and energy use.
Controversy arose when an investigation found former provost Santiago Schnell used AI without disclosure, leading to his resignation, and a survey by economics professor Bruce Sacerdote showed that 70% of students consider AI‑assisted take‑home work increasingly unfair.
In a panel on higher education, President Beilock emphasized that universities, not government agencies or technology companies, should determine how AI is integrated into teaching and learning, while keynote speaker Yann LeCun argued that large language models will not reach human‑level intelligence.
Discussions also covered ethical and societal challenges such as data privacy concerns raised by attendee Jeff Adams, potential military autonomous weapons, and the need for human‑centered design in product development, as noted by panelist Laura Ray.
Campus officials reported critical infrastructure stress due to AI‑driven data center workloads and gaps in measuring AI’s energy consumption, while the Evergreen AI wellness platform aims to provide upstream student support through personalized interventions.
Participants concluded that, although AI can boost efficiency, preserving human judgment, creativity, and ethical oversight remains essential for responsible technological development.
Source: www.thedartmouth.com
