PERSON
Kentaro Toyama
The computer scientist who built AI systems, won prizes for them, and then spent a decade in the field watching powerful tools fail in under-resourced settings—emerging with the Law of Amplification: technology amplifies existing human and institutional capacity, and does nothing more.
In 2004, laptops worth thousands of dollars each were placed on wooden desks in front of children in Indian schools who had never touched a keyboard. In schools with capable teachers and functioning institutions, the computers transformed learning. In schools without them, the computers gathered dust or became distractions, producing measurable improvement in no case where the human infrastructure was absent. The technology was identical. The outcomes were opposite. Kentaro Toyama saw this pattern dozens of times, across schools, health clinics, and agricultural extension services throughout South Asia, and extracted from it a principle he calls the
Law of Amplification: technology amplifies existing human and institutional capacity; it does not substitute for missing capacity. What makes Toyama unusual among critics of the technology industry is that he is not an outsider. He won the David Marr Prize in computer vision and helped lay the groundwork for Microsoft’s Kinect device before moving to Microsoft