Decentralized Identity Chat Verification for Trusted AI Responses
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Solution Overview
Problem
Existing AI-based chatbot systems lack a mechanism to verify the accuracy of responses, requiring users to trust the responses provided without assurance of their validity.
Innovation Solution
Implementing decentralized identity services and generative large language models to facilitate a humanized interactive chatbot session, where responses are verified by comparing them with verified credentials associated with the user, ensuring accuracy through a verifier service that establishes sessions and verifies responses before providing them to the inquirer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI-based chatbot systems are used to generate responses, then interaction efficiency and automation are improved, but response accuracy and trustworthiness deteriorate due to lack of verification mechanism
Solution Approach 1:
The patent introduces a verifier service as an intermediary component between the chatbot system and the user. This verifier service receives responses from the chatbot, verifies them against ground truth data or knowledge bases, and only presents verified responses to the user. This mediator architecture maintains high automation while adding a verification layer that ensures response accuracy and builds user trust.
2Reliability
If verification mechanisms are added to AI chatbot systems, then response accuracy and trustworthiness are improved, but system complexity increases
Solution Approach 1:
The patent divides the chatbot system into distinct modular components: a chatbot service for generating responses, a verifier service for validating responses, and a user interface for interaction. Each component has a specific function and can be independently developed, deployed, and maintained. This segmentation reduces system complexity by creating manageable modules with clear interfaces while still providing comprehensive verification functionality.
Data Source
AI summary
Disclosed are various embodiments for using decentralized identity services and generative large language models (LLMs) to facilitate a humanized interactive chatbot session between two entities where information exchanged can be verified for accuracy. An interactive session can be established between a chat wallet service associated with a first user (e.g., a credential holder) and a second user (e.g., inquirer) using decentralized identity services. Inquiries asked by the second user can be directed to the chat wallet service which can obtain a response from a personalized dialog agent. The personalized dialog agent can obtain the answer by executing a language model that has been trained and personalized using information about the first user. The answer to the inquiry can be verified by comparing the answer with a verified credential associated with the first user. The verified response to the inquiry can then be provided to the second user.