AI Voice Response System Secure Knowledge Access
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Solution Overview
Problem
Existing AI voice response systems face challenges in securely accessing and exchanging knowledge corpora between users, limiting their ability to recognize and respond to commands from unfamiliar users, especially in multi-user environments like smart homes or offices, where privacy and security restrictions prevent access to another user's knowledge corpus.
Innovation Solution
The implementation of a method and system that allows a first user's AI voice response system to perceive the physical presence of a second user, convey a voice request for access to their knowledge corpus, instantiate an electronic communication session, and retrieve selected portions of the knowledge corpus via a data communications network, enabling the first user's system to initiate actions based on the second user's preferences and intents while preserving security and privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the AI voice response system restricts access to another user's knowledge corpus to preserve privacy and security, then security is improved, but the system cannot recognize and respond to commands from unfamiliar users
Solution Approach 1:
The knowledge corpus is segmented into multiple portions, where only selected portions are accessed and transferred to the first user's AI system. This segmentation allows the system to provide necessary functionality while minimizing privacy exposure by sharing only relevant subsets of the knowledge corpus rather than the entire corpus.
Solution Approach 2:
The system introduces an intermediary access mechanism that mediates between the first user's AI system and the second user's knowledge corpus. This intermediary layer enables controlled access through authentication and authorization protocols, allowing the system to retrieve selected portions without direct exposure to the complete knowledge corpus, thus maintaining security while enabling functionality.
2Adaptability or versatility
If the AI voice response system accesses another user's knowledge corpus to improve user recognition, then adaptability is improved, but communication overhead increases
Solution Approach 1:
The system extracts only the necessary selected portions of the knowledge corpus that are relevant to user recognition and command interpretation, rather than transferring or processing the entire knowledge corpus. This extraction minimizes communication overhead by transmitting only the essential data needed for functionality.
Solution Approach 2:
The system performs partial action by accessing and utilizing only the specific portions of the knowledge corpus needed for user recognition and command processing. This partial access approach reduces communication overhead compared to transferring or processing the complete knowledge corpus, while still achieving the necessary adaptability.
3Adaptability or versatility
If the AI voice response system retrieves selected portions of the knowledge corpus via network, then user-specific functionality is improved, but system complexity increases
Solution Approach 1:
The system implements a universal access framework that can retrieve selected portions of knowledge corpora from multiple different users through a standardized process. This multi-functional approach allows the same system architecture to serve multiple users with different knowledge corpora, reducing overall system complexity compared to implementing separate dedicated systems for each user.
Solution Approach 2:
The system performs preliminary authentication and authorization actions before retrieving the knowledge corpus portions. By establishing access permissions in advance through authentication protocols, the system simplifies the retrieval process and reduces the complexity of real-time access control decisions during operation.
Data Source
AI summary
Access authentication in an artificial intelligence system includes perceiving electronically with a first user's artificial intelligence voice response system (AIVRS) a physical presence of a second user. A voice request is generated by the first user's AIVRS and conveyed to a second user requesting access to a knowledge corpus stored by an AIVRS of the second user. Based on a voice response of the second user, the first user's AIVRS instantiates an electronic communications session with the second user's AIVRS. The session is initiated via an electronic communications connection with a portable device of the second user. Selected portions of the knowledge corpus are retrieved by the first user's AIVRS from the second user's AIVRS, the portions selected based on the voice response. An action by one or more IoT devices is initiated in response to a voice prompt interpreted by the first user's AIVRS based on the selected portions.