US20250016124
2025-01-09
Electricity
H04L51/046
The disclosure presents methods and systems for facilitating large-scale conversational deliberations among networked human groups and AI conversational agents. It aims to enhance collective intelligence by allowing real-time dialog through various communication modes such as text, voice, and video. The system divides a large group into smaller subgroups to enable coherent conversation and decision-making. This approach addresses the challenges of maintaining effective communication in large groups.
Each subgroup is equipped with a conversational surrogate agent and a conversational contributor agent. The surrogate agent monitors conversations within its subgroup, shares insights with other agents, and conveys insights from other subgroups in a natural dialog format. Meanwhile, the contributor agent provides AI-generated inputs such as answers, opinions, or factual information, contributing to the local discussions independently of other subgroups' conversations.
The system's communication structure is designed to optimize information flow and support rapid convergence on solutions. By dividing users into subgroups, the system enhances the efficiency of information transfer and collective decision-making. The flexibility of the system allows it to operate in synchronous, semi-synchronous, or asynchronous modes, depending on participants' timing preferences.
The conversational surrogate agent plays a crucial role in synthesizing and distributing insights across subgroups. It ensures that valuable information is shared effectively while maintaining the conversational flow within each subgroup. The conversational contributor agent complements this by injecting AI-derived content into discussions, enriching the conversation without relying on external subgroup interactions.
This system is scalable and adaptable to various group sizes and interaction modes. It leverages AI to amplify collective intelligence, making it possible for large groups to engage in meaningful deliberations. By addressing the limitations of traditional conversation methods in large groups, this system promotes more effective collaboration and decision-making processes.