Conversational AI Message Interception for Policy Governance
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Solution Overview
Problem
Conversational AI tools like ChatGPT may exhibit inappropriate behavior due to biased training, leading to reputational damage and reliability concerns for organizations, and existing governance models are not automated or effective in managing such issues.
Innovation Solution
A system and method that intercepts conversational AI messages using a plugin manager to ensure compliance with organizational policies, allowing dynamic addition of plugins for real-time moderation and governance, enabling parallel or sequential processing to manage inappropriate content, disinformation, privacy violations, bias, and fraud.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conversational AI tools are trained with large language models to provide beneficial features, then functionality and user assistance are improved, but the risk of biased and inappropriate responses increases
Solution Approach 1:
The patent introduces a content management system as an intermediary layer between the user and the conversational AI tool. This system intercepts messages, applies governance models and policies, and moderates content before it reaches the AI model, thereby preventing biased and inappropriate responses while preserving the AI's functional capabilities
Solution Approach 2:
The system implements feedback mechanisms where AI responses are analyzed and evaluated against governance models. When inappropriate content is detected, the system provides feedback by blocking or modifying responses, and can adjust governance models based on accumulated data about AI behavior and policy violations
2Reliability
If existing governance models are used to manage AI behavior, then policy compliance is improved, but automation and real-time effectiveness are insufficient
Solution Approach 1:
The content management system enables automated self-service governance by automatically intercepting, analyzing, and moderating AI messages in real-time according to governance models. The system can dynamically adjust governance parameters and block inappropriate content without manual intervention, transforming manual governance processes into automated operations
Solution Approach 2:
The system performs preliminary actions by pre-configuring governance models and policies before AI interactions occur. These governance frameworks are established in advance to automatically evaluate and control AI responses, ensuring policy compliance is built into the system architecture rather than applied retrospectively
3Object-affected harmful factors
If content moderation is implemented to prevent inappropriate responses, then reputational risk is reduced, but system complexity and processing overhead increase
Solution Approach 1:
The content management system is segmented into distinct functional modules: message interception components, governance model evaluation engines, policy enforcement mechanisms, and response modification systems. This segmentation allows each component to handle specific tasks efficiently, reducing overall system complexity while maintaining comprehensive moderation capabilities
Data Source
AI summary
Computing platforms, methods, and storage media for content management for a conversational artificial intelligence tool are disclosed. Exemplary implementations may: intercept, by an apparatus and from a data communication channel, a conversational AI message associated with the conversational AI tool; determine, by a plugin manager at the apparatus and based on stored policies, one or more plugins to receive the intercepted conversational AI message; selectively forward, at the apparatus, the conversational AI message to the one or more plugins for processing; and output, by the plugin manager at the apparatus, a modified conversational AI message based on the processing at the one or more plugins. Exemplary implementations may be configured to assist with one or more of: automatically moderating content sent to and from conversational AI solutions, assisting with ensuring responsible content and AI interactions, flagging undesirable intentions, and automating model governance.