Naoto Fujie.

At the center of his research is the process through which ideas and values move beyond discourse and become implemented in AI models, scoring systems, user interfaces, approval pathways, labor structures, and spatial design. He seeks to reconstruct philosophy not only as the interpretation of existing thought, but also as a method for auditing whether implemented ideas expand or restrict human freedom and future possibilities.

His principal research areas include the AI score-bureaucratic social ecosystem, Mutual Audit Theory, Free Evolution Dialectics, and Body Audit Philosophy. In particular, he defines "Output Without Return" as a condition in which AI-driven information generation accelerates while the body, attention, judgment, and action fail to recover at the same rate. He analyzes this condition through the relationship between Information Generation Rate, Return Rate, and Return Capacity.

Through Plato Design Lab, he connects this philosophical research with AI work audits, body–space audits, interface design, and organizational systems analysis. Rather than separating theory from implementation, he investigates the evaluative standards, power relations, bodily burdens, and structures of responsibility embedded in AI systems. His work aims to identify the conditions under which human beings can continue to judge, refuse, act, and form alternative futures.