Encrypted Prompt Mediation for Private AI Negotiation Terms
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Solution Overview
Problem
Negotiations between opposing parties often require significant time due to factors such as availability, communication methods, and complexity of terms, with existing systems failing to efficiently determine agreeable terms without revealing each party's constraints.
Innovation Solution
An encrypted context-based prompt system using a large language model application that encrypts and conceals private terms, allowing it to determine negotiated terms automatically while satisfying both parties' constraints, employing encryption layers and a computing environment to handle various context interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated negotiation systems are implemented to reduce negotiation time, then productivity increases, but device complexity and security requirements increase
Solution Approach 1:
The patent introduces an encrypted prompt service as an intermediary between the large language model and user applications. This mediator handles encryption, decryption, and secure communication protocols, isolating the complexity from both ends and enabling automated negotiation without requiring users to manage cryptographic details directly
Solution Approach 2:
The system divides the automated negotiation functionality into separate modular components: encrypted prompt service, large language model application, and client applications. Each component has a specific responsibility (encryption/decryption, term generation, user interface), reducing overall system complexity while maintaining high productivity
2Reliability
If encryption is applied to protect private constraints during negotiation, then information security improves, but processing time and computational overhead increase
Solution Approach 1:
The system performs encryption of prompts and decryption of responses in advance of actual negotiation interactions. By pre-establishing encrypted communication channels and preparing encrypted prompt templates, the system minimizes real-time processing delays during actual negotiations while maintaining strong security
3Productivity
If automated term generation is implemented to reduce negotiation time, then productivity increases, but the complexity of generating contextually appropriate terms increases
Solution Approach 1:
The encrypted prompt service acts as a specialized intermediary that translates high-level negotiation requirements into contextually appropriate terms using the large language model. This mediator handles the complexity of contextual understanding and term generation, allowing client applications to generate terms quickly without implementing complex natural language processing themselves
Data Source
AI summary
Disclosed are various embodiments for an encrypted context-based prompt system for interactions between multiple entities. In one embodiment, a system comprising a computing device configured to receive a request to activate a prompt session. The request comprises a template identifier representing a type of interaction between a first device and a second device. A decrypted term is determined by decrypting an encrypted term associated with the request. A large language model prompt is generated based at least in part on the template identifier and the decrypted term. A proposed term is generated by executing a large language model application based at least in part on the large language model prompt. An encrypted proposed term is transmitted to the first client device or the second client device.