Generative AI Response Refinement Through User Policy Analysis
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Solution Overview
Problem
Generative artificial intelligence (AI) systems often produce responses that are not adequately formatted, safe, ethical, or aligned with user-specific policies, leading to decreased user trust and confidence, and existing assurance practices are costly and not feasible at scale.
Innovation Solution
An AI optimizing system that includes a user interface, job scheduler, and optimization hub to analyze and refine responses of generative AI models based on user-specific policies and alignment metrics, improving adherence to ethical and regulatory standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If generative AI systems are used to process data and generate responses, then productivity and convenience are improved, but reliability and alignment with user policies deteriorate
Solution Approach 1:
The patent introduces a policy analysis module as an intermediary between the generative AI model and the user. This module receives the AI-generated response, analyzes it against user-specific policies, and identifies alignment issues. The intermediary enables automated policy compliance checking without requiring manual review of each response, thus maintaining productivity while improving reliability through systematic policy enforcement.
2Reliability
If manual review and formatting of AI responses is performed, then alignment and safety are improved, but productivity and scalability worsen
Solution Approach 1:
The system implements automated self-service through the policy analysis module that independently evaluates AI responses against user policies without human intervention. The module automatically identifies alignment issues and can trigger refinements, enabling the system to maintain high safety and ethical standards while scaling to handle large volumes of responses without proportional increases in manual review resources.
3Reliability
If existing assurance practices are implemented, then alignment issues are addressed, but cost and complexity increase
Solution Approach 1:
The policy analysis module serves multiple functions within a single integrated system: it analyzes responses for policy alignment, identifies specific alignment issues, and can trigger refinement processes. This multi-functional approach consolidates what would otherwise require separate systems for policy checking, issue identification, and response refinement, thereby providing comprehensive alignment assurance while managing system complexity through functional integration.
Data Source
AI summary
A method may include providing a query and context associated with the query to a generative artificial intelligence model, in which the generative artificial intelligence model may be trained to generate a response to the query based on the context. The method may further include obtaining one or more policies, in which at least one of the one or more policies are specific to the user. An analysis of the response may be performed based on the one or more policies. Based on the analysis, alignment issues in the response may be identified. The response may be refined to improve the alignment issues.