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, insight extraction, and solutions, and amplifying collective intelligence. A plurality of computing devices associated with members of a population of participants is provided, wherein the plurality of computing devices is networked via a computer network and in communication with a central server. In some cases, the central server divides the population into a plurality of subgroups and enables an LLM-powered conversational surrogate agent associated with each subgroup. The conversational surrogate agent is configured to repeatedly observe a conversation among members of its assigned subgroup and store content of the conversation to extract insights from the conversation at appropriate intervals.

Abstract: The present disclosure describes systems and methods for asynchronous conversational deliberation among a population of human participants. In some aspects, a collaboration server is connected to a memory containing a representation of conversational content that was previously captured from prior human participants, the representation associated with each prior participant including at least one stored idea, insight, view, or assertion expressed by that prior participant and at least one associated numerical measure of sentiment, conviction, confidence, or support. According to some embodiments, an asynchronous conversational process is enabled in which each of a plurality of new human participants engages in real-time dialog with a Conversational Surrogate Agent displayed by their associated computing device, each Conversational Surrogate Agent configured to express to at least one new participant, at least one stored idea, insight, view, or assertion associated with at least one prior participant.

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, insight extraction, and solutions, and amplifying collective intelligence. A plurality of computing devices associated with members of a population of participants is provided, wherein the plurality of computing devices is networked via a computer network and in communication with a central server. In some cases, the central server divides the population into a plurality of subgroups and enables an LLM-powered conversational surrogate agent associated with each subgroup. The conversational surrogate agent is configured to repeatedly observe a conversation among members of its assigned subgroup and store content of the conversation to extract insights from the conversation at appropriate intervals.

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, insight extraction, and solutions, and amplifying collective intelligence. A plurality of computing devices associated with members of a population of participants is provided, wherein the plurality of computing devices is networked via a computer network and in communication with a central server. In some cases, the central server divides the population into a plurality of subgroups and enables an LLM-powered conversational surrogate agent associated with each subgroup. The conversational surrogate agent is configured to repeatedly observe a conversation among members of its assigned subgroup and store content of the conversation to extract insights from the conversation at appropriate intervals.

Abstract: The present disclosure describes systems and methods for large-scale conversational deliberation and conversational collective intelligence with selectable levels of synchrony. In some aspects, a collaboration server defines a plurality of sub-groups of networked computing devices (e.g., human participants). Each subgroup may be associated with a conversational surrogate agent configured to observe real-time conversational deliberation among participants of its subgroup, pass insights to and receive insights from other conversational surrogate agents associated with other subgroups, and conversationally express insights received from other subgroups. Additionally, each subgroup may be associated with a conversational contributor agent configured to participate in local conversation of that subgroup by offering answers, insights, opinions, or factual information that is independently AI generated rather than being derived based on conversational content of participants in other subgroups.

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, insight extraction, and solutions, and amplifying collective intelligence. A plurality of computing devices associated with members of a population of participants is provided, wherein the plurality of computing devices is networked via a computer network and in communication with a central server. In some cases, the central server divides the population into a plurality of subgroups and enables an LLM-powered conversational surrogate agent associated with each subgroup. The conversational surrogate agent is configured to repeatedly observe a conversation among members of its assigned subgroup and store content of the conversation to extract insights from the conversation at appropriate intervals.