Collaborative AI System Answer Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current AI systems at a location do not effectively collaborate or cooperate with each other to provide a unified response to user inquiries, as they operate on different proprietary systems and learning techniques, leading to inconsistent and potentially inferior answers.
Innovation Solution
A method and system that detects and identifies communicable AI devices, generates answers from each device's AI system, rates these answers based on various factors, defines a threshold for a final answer, and selects the best response to provide a unified audible communication to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple AI systems operate independently with proprietary systems, then each system can maintain its own operating system and learning techniques, but the systems cannot cooperate or communicate with each other to provide unified responses
Solution Approach 1:
The patent introduces a communication interface as an intermediary layer between multiple AI systems with different operating systems. This interface enables standardized data exchange and collaboration while allowing each AI system to maintain its proprietary backend, thus resolving the contradiction between system independence and cooperative capability
2Productivity
If each AI system generates answers independently, then each system can process requests autonomously, but the answers may be inconsistent or inferior compared to a collaborative approach
Solution Approach 1:
The patent combines multiple independent answer generation processes into a unified collaborative framework. Multiple AI systems generate answers independently first, then these answers are merged and evaluated collectively through a standardized interface to produce a final superior response, thus maintaining productivity while improving answer quality
3Adaptability or versatility
If AI systems use different learning parameters and algorithms, then each system can optimize for its specific use cases, but the systems learn differently and cannot share knowledge effectively
Solution Approach 1:
The patent segments the AI collaboration process into distinct functional modules: independent learning modules that maintain specialized knowledge, and a communication interface module that enables knowledge sharing. This segmentation allows each AI system to maintain its specialized learning parameters while enabling effective information exchange through standardized data formats and protocols
Data Source
AI summary
A method, system, and computer program product are disclosed for collaborating among multiple electronically communicating AI (Artificial Intelligence) devices. Devices are detected and identified that are each communicable with a user and electronically communicating and interacting with their respective AI systems. In response to receiving a request or an instruction by a user at a device of the identified devices, each of the devices generate an answer to the request or instruction, wherein each of the devices are communicating with their respective AI systems. Each of the generated answers are rated from each of the identified AI systems and their corresponding devices, respectively. A threshold is defined for a final answer based on a plurality of factors. A final answer is selected that met the threshold. Using one of the identified devices, responding, by generating an audible communication with the final answer which communicates a response to the user.