Abstract: A computer-implemented authorization method is provided. The method includes generating with a cryptographic module a real-time digital authorization artifact based on a live human authorization event, emitting the real-time digital authorization artifact from the cryptographic module, consuming the real-time digital authorization artifact at a requester system as a prerequisite for an action in the requester system in order to prove that a real human being was present and authorized during a set time window on a user device, and providing the requester system as being architecturally separated from the cryptographic module.

Abstract: An authority binding system for a digital document is provided. The system includes a document entity configured to represent the digital document as a canonical identity that persists across time; a temporal state model configured to receive the digital document from the document entity, receive a time output from a clock, and bind an authoritative state of the digital document to the time output such that the time output is part of a structural model of the digital document; an authority control layer configured to govern the authoritative state by a number of time-bound lifecycle state transitions of the digital document, a lifecycle state machine configured to structurally enforce the transitions of the digital document; a resolution engine configured to close a number of temporal windows of mutability of the digital document; and a temporal query interface configured to resolve requests to access the digital document.

Abstract: A computer-implemented method is provided for converting a human intent of a user into an artificial intelligence (AI) prompt. The method includes receiving a textual statement from the user, the textual statement comprising the human intent; employing an interpretation generation engine to generate a plurality of semantic interpretations of the textual statement; receiving a selection of a first semantic interpretation of the plurality of semantic interpretations from the user, the first semantic interpretation comprising a clarified human intent; generating the AI prompt based at least in part on the selection such that the AI prompt is configured to elicit a response from an AI model based on the clarified human intent; and sending the AI prompt to the AI model in order to generate the response.