Building a future where human capacity grows alongside AI.
Commercial AI was built to provide rapid, simplified, assured answers and automate routine tasks. That design has given rise to widespread cognitive surrender: the uncritical adoption of AI-generated output without internal reasoning, oversight, or verification.
It happens when students use AI in place of learning, when employees submit its output as their own, and even when experts rely on it outside their expertise.
As commercial AI narrows how people think, it also narrows the value of human labor — the same convenience that erodes judgment makes people easier to replace. We believe cognitive surrender is dangerous, but it is not an inevitable consequence of the rise of AI.
The dominant path: AI capability so thoroughly outstrips human capacity that people end up intellectually outmatched and dependent on it.
As AI grows, so does its ability to elevate human thinking — if it's built differently. Our vision draws on a decade of research in Computational Creativity, a field that preceded today's commercial generative AI.
The people who build AI should not be the ones deciding how it interacts with us. We align AI to elevate human capacity, rather than replace it.
Once men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them.Frank Herbert, Dune
Internationally recognized pioneer in generative AI and founder and CEO of WaveAI, one of the first generative AI startups. Associate Professor at Santa Clara University with over 50 AI research publications and author of Creative Machines. Featured by NBC News, Forbes, New Scientist, and PNAS, with keynotes at Microsoft, Oxford, Google, and the National Academy of Sciences. Named to 100 Women in AI and a 2026 Billboard Executive Honoree.
Award-winning marketer (Effie, CLIO, Webby) with cross-sector executive experience across startups, corporate, and nonprofits. Has supported growth for 100+ organizations, including IBM and a16z portfolio companies. MSc, London School of Economics.
Led IBM's Human-Centered AI research lab, studying how to design and govern AI systems that amplify their users rather than replace them. Appointed IBM Master Inventor. PhD in Computer Science, Carnegie Mellon University.
PhD from Santa Clara University, researching bias in generative AI systems and computational creativity. Formerly an engineer at Microsoft and Intel.
Assistant Professor at King's College London; co-author of "Thinking—Fast, Slow, and Artificial," the paper that introduced the term "cognitive surrender." Cited by the United Nations and MIT, and covered by The Economist and The New York Times.
Associate Professor at the Wharton School; co-author of the paper that introduced the term "cognitive surrender." Named to Best 40-Under-40 Business School Professors.
Associate Professor of Computational Design at the University of Sydney; researcher in human–AI creative collaboration and a leading voice on designing AI that expands human creative capacity.