SYSTEM AND METHOD FOR AI-MEDIATED CONVERSATIONS AMONG LARGE NETWORKED POPULATIONS

Smart overview of the Invention

The described system facilitates real-time conversational dialogue among large groups of networked users, enabling collective decision-making and insight generation. It employs a collaboration server that interacts with multiple computing devices, each linked to a user. The server organizes users into smaller sub-groups for effective communication. Each device hosts a local chat application that displays prompts from the server, allowing users to engage in real-time discussions within their sub-group.

Background

Current tools for real-time interactive dialogue, such as text, video, and VR, are limited in effectiveness when participant numbers exceed 12 to 15 people. This limitation impedes the ability to leverage collective intelligence in larger groups. The ideal group size for coherent conversation is often suggested to be between 5 to 7 participants. This system addresses these challenges by enabling structured conversations among larger populations through subgrouping.

Functionality

The system divides large user populations into smaller sub-groups to facilitate coherent discussions. An AI agent exchanges conversational content among these sub-groups, ensuring information dissemination across the entire network. The collaboration server coordinates this process by managing the communication between itself and the local chat applications on user devices. This setup allows for the collection and processing of dialogues, which are then summarized and shared with different sub-groups.

Technological Implementation

The system utilizes networking technologies to support real-time conversations across various formats, including text, voice, video, and VR avatars. By organizing users into manageable subgroups, it enables parallel conversations while sharing insights across groups through AI facilitation. The architecture supports efficient information propagation and enhances collective intelligence by integrating insights from multiple discussions.

AI Integration

The system incorporates three AI agents: a Conversational Observer Agent, a Conversational Surrogate Agent, and a Global Collective Intelligence Agent. These agents may operate on a single server using a unified codebase and leverage APIs accessing large language models like GPT-3 or ChatGPT. This AI-driven approach overcomes the limitations of conventional chat technologies by structuring conversations to accommodate large groups and facilitate meaningful deliberations.