Session 1

What Can the Declaration of Independence Teach Us About Artificial Intelligence?

In this talk—marking the 250th anniversary of the Declaration of Independence and the 70th anniversary of the coining of the term artificial intelligence at Dartmouth—we revisit the Declaration as a lens for understanding AI.

We begin with a curious question: why do modern AI systems often claim that the Declaration of Independence is AI-generated? Using this example, we unpack how these systems actually work. Along the way, we explore both their remarkable capabilities and their fundamental limitations.

From there, we zoom out. The Declaration of Independence raises enduring questions about what makes a system legitimate: who it serves, where its authority comes from, and when it should be challenged. As AI becomes embedded in everyday life, these questions feel more relevant than ever. This talk offers a clear, accessible introduction to AI, grounded in both technical intuition and broader ideas about trust, responsibility, and human judgment.

Suggested Reading

Co-Intelligence: Living and Working With AI by Ethan Mollick

Brinnae Bent

Executive in Residence in the Engineering and Professional Programs, 
Pratt School of Engineering at Duke; Director, Duke TRUST Lab

Brinnae Bent is the Associate Director of the Society-Centered AI Initiative, the Director of the Duke TRUST Lab, and a faculty in the Pratt School of Engineering at Duke University, where she teaches courses on Artificial Intelligence and Cybersecurity. She is a leader in bridging the gap between research and industry in machine learning, having led projects and developed algorithms for the largest companies in the world. More importantly, she has built algorithms that have meaningful impacts— from helping people walk to noninvasively monitoring glucose. Her current research explores questions such as “How can explainable AI help in the conservation of endangered species?” “How do we prevent your sleep monitor from getting hacked?”, and “how do we align AI systems with how humans think about concepts?” Dr. Bent actively contributes open-source tools and translates high-impact research into practice. Beyond research, Dr. Bent is deeply committed to education, and her education initiatives have been featured by OpenAI Academy, Backyard Brains, and CNET. She teaches advanced courses in explainable AI, deep learning, reinforcement learning, and cybersecurity, while also pioneering “K-100” outreach initiatives to bring engineering and data science to diverse audiences. She seeks to empower the next generation of thinkers who will shape ethical, impactful technology. Dr. Bent holds a BS from North Carolina State University and an MS and PhD from Duke University.