Chat Bot Registration via Response Validation
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Solution Overview
Problem
Integrating third-party chatbots into search engine results poses risks due to unpredictable behavior, especially with self-learning capabilities, necessitating monitoring and validation to ensure compliance with rules and policies, while maintaining performance and user safety.
Innovation Solution
A registration and monitoring system using classifiers to validate chatbot responses, stripping inappropriate content, and employing machine-learned models to determine if chatbots are 'bad bots' to prevent their inclusion in search results, allowing only compliant chatbots to be integrated into search engine results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If third-party chatbots are integrated into search engine results, then user experience and functionality are enhanced, but reliability and safety deteriorate due to unpredictable behavior and policy violations
Solution Approach 1:
The system performs preliminary validation of chatbot responses before they are displayed to users. A classifier model evaluates incoming chatbot responses to determine if they contain inappropriate content, and only approved responses are shown. This preliminary action prevents harmful content from reaching users while maintaining chatbot functionality.
2Reliability
If chatbot responses are monitored and validated using classifiers, then reliability and safety are improved, but device complexity and processing requirements worsen
Solution Approach 1:
The patent introduces an intermediary classifier system that sits between the chatbot and the user interface. This intermediary component automatically evaluates chatbot responses using machine learning models to identify inappropriate content, thereby managing the complexity of safety validation without requiring direct human intervention for each response.
3Object-affected harmful factors
If inappropriate content is stripped from chatbot responses, then user safety is improved, but loss of information worsens due to removal of potentially useful content
Solution Approach 1:
The classifier system applies local quality control by selectively identifying and removing only the harmful portions of chatbot responses rather than rejecting entire responses. The system evaluates specific segments of content for appropriateness and strips only the inappropriate portions, preserving the rest of the useful information for user consumption.
Data Source
AI summary
Systems, methods, and computer-executable instructions for verifying a chat bot. Registration information for the chat bot is received that includes keywords. Queries are submitted to the chat bot and responses to the queries are received. The responses are classified using a classifier. Verification that the responses are classified as approved responses are done. The registration information is stored and the registration of the chat bot is completed based upon the verified responses. A search query that includes a search keyword is received. The search keyword is matched to the keywords associated with the chat bot. Search results that include a link to the chat bot that are based upon the search query are provided.