Collaborative Systems Change and Collective Intelligence
Pranav Gupta and Anita Woolley have generated a framework for collective intelligence that informs possibilities for socio-technical efforts that bridge artificial intelligence and human decision-making. Their framework, a Transactive Systems Model of Collective Intelligence (TSM-CI), uses theory and evidence from human psychological science to define intelligence and posit a plausible understanding of collective intelligence, its components, processes, and measurable constructs (full citations below). From their work we learn that any intelligent system (like a human) manages three primary functions - memory, attention, and reasoning – to achieve goals. The basic functions underlying intelligence become transactive in a collective intelligence framework indicating that by combining and exchanging memory, attention, and reasoning groups improve their chances of achieving shared goals. Gupta and Wooley advise that optimal combining and exchanging of memory, atten...