The humAIne Project exists to re-center human value in a world increasingly shaped by artificial intelligence. As algorithms mediate work, education, governance, and opportunity, we ask not just what AI can do — but what humans can and should do. Our research blends data science with normative inquiry to develop new metrics that foreground human capabilities, not machine capacities. By designing empirical tools to assess how AI systems reshape work, institutions, and social trust, we aim to hold technology accountable to democratic values — and help society reimagine progress in human terms.
The EPOCH Framework encapuslates the human capabilities that machines cannot replicate. Using this framework, we developed three metrics:
Isabella Loaiza
Co-Lead
Isabella Loaiza is a computational social scientist at the MIT Sloan School of Management who is committed to building an equitable and sustainable future of work. Her research especially focuses on understanding the impact of technology on the future workforce. She also explores AI’s impact on work, workers, and organizational talent practices, with a human-centered approach that emphasizes human-AI complementarities. Learn More >
Roberto Rigobon
Co-Lead
Roberto Rigobon is the Society of Sloan Fellows Professor of Management and a Professor of Applied Economics at the MIT Sloan School of Management. He is also a research associate of the National Bureau of Economic Research, a member of the Census Office. Learn More >
Roberto Vestrelli
PhD Student
Jacqueline Yentumi
Undergraduate Student
Noely Ireniu Silva
Past Member
MIT Sloan School of Management, 100 Main Street, Cambridge, MA 02142