
How ‘trace hiring’ can reclaim human authenticity in the age of AI
AI has flooded hiring with low-effort resumes. But "trace hiring" could helps leaders bypass the noise to identify truly skilled candidates.
Marvin Starominski-Uehara teaches at Temple University Japan and researches emerging intelligence in complex systems. He is the principal investigator of the Stigmergy Network Theory project and a guest editor for an upcoming special issue of Interface Focus (Royal Society) on collective coordination across biology and digital society. His research sits at the intersection of how individuals and organizations make decisions under uncertainty and what it takes to design conditions where genuine capability becomes visible. He is the creator of 'Trace Pedagogy' and holds a Ph.D. in Risk Management and Public Policy from the University of Queensland and a Master's in Public Administration and Disaster Management from the University of Hawaiʻi at Mānoa. He is an alumnus of the East-West Center.