Scalable methods and systems for ai-facilitated video-conferencing among large conversational human groups

Abstract

The present disclosure describes systems and methods for enabling real-time conversational dialog among a large population of networked human users while facilitating convergence on groupwise decisions, insights, and solutions, and amplifying collective intelligence. A collaboration server running a collaboration application is provided, wherein the collaboration server is in communication with the plurality of the networked computing devices and each computing device is associated with one user of the population of human participants. In some cases, the collaboration server defines a plurality of sub-groups of human participants. A local video conferencing application on each networked computing device enables real-time communication with other users of a sub-group assigned by the collaboration server. According to some embodiments, an AI-mediated process enables communication to propagate across a plurality of parallel subgroups using simulated participants within each subgroup. In some embodiments, this provides a scalable video-conferencing process for real-time conversational deliberation among large human groups.