Human Agency
Judgment, problem formation, authorship, delegation, expertise formation, and the changing scale of individual agency.
Research
When does machine capability become human capability?
The Intellectual Agenda of AI Humanism studies how increasingly capable machines alter the development of people and institutions.
The Capability-Conversion Problem
Measure what develops, not only what performs.
Under what conditions does an increase in machine capability produce a durable increase in human or institutional capability?
Machine capability What the system can do.
Assisted performance What becomes possible with the system.
Durable capability What remains as human or institutional capacity.
Research domains
Four pillars, multiple levels of analysis
Institutional Integrity
Authority, accountability, organizational design, expertise, decision rights, and institutional learning.
Knowledge Stewardship
Informational abundance, verification, expertise, knowledge creation, preservation, participation, and understanding.
Governed Intelligence
Mandates, bounded authority, evidence of execution, correction, adaptive governance, and the feasible domain of delegation.
Development over time
Performance and capability can diverge.
An intelligent system may improve the immediate quality or speed of work without producing a corresponding increase in human expertise, judgment, or institutional capacity. The research program therefore treats machine capability, assisted performance, and durable capability as distinct constructs.
The central question is not only what a person can accomplish with a machine, but what the person becomes capable of doing because of sustained interaction with it.Read the Intellectual Agenda