AI research and design that prioritizes human thriving.
We conduct interdisciplinary AI research at the intersection of safety, governance, and the humanities and social sciences, asking what kind of intelligence we are building and what it means for human flourishing. Our 501(c)(3) nonprofit enables fast, flexible collaboration between AI researchers and domain experts across institutions, disciplines, and sectors — filling gaps that traditional academic structures can't. Founded by Katherine Elkins and Jon Chun, who co-created the world's first human-centered AI curriculum in 2016, our founders serve as Principal Investigators representing the Modern Language Association in the consortium of NIST's Center for AI Standards and Innovation (CAISI, formerly the U.S. AI Safety Institute) and lead the Schmidt Sciences HAVI Archival Intelligence project. Research from the curriculum they created has been downloaded 100,000+ times by 4,000+ institutions across 198 countries.
LLM red/blue team testing, ethical auditing, multi-agent system evaluation, and comparative AI regulation. Our research contributes to AI safety and governance conversations across standards bodies, public-interest AI organizations, and international cultural-policy initiatives. Our latest initiative, the Wisdom Test, is a successor to the Turing test that surfaces the religious and philosophical traditions beneath frontier AI systems.
An umbrella for distributed teams of diverse experts to secure funding and collaborate on AI research across geographic, institutional, and disciplinary boundaries.
All research tools and methodologies are open-source. Student research from the curriculum we co-created has been downloaded 100,000+ times by more than 4,000 institutions worldwide.