Selective Privacy Enforcement for Voice Application Data
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Solution Overview
Problem
Current voice application devices pose significant information privacy and confidentiality challenges due to their ability to record and store sensitive information without user awareness, especially when operating continuously, and existing methods for protecting such information often render entire passages un retrievable, making it difficult to balance privacy with the need for later access and analysis.
Innovation Solution
A computer-implemented method that identifies sensitive information in conversations, generates confidence scores, and determines appropriate protection actions based on these scores to form a modified conversation devoid of sensitive information, allowing for selective protection and secure storage while enabling later retrieval and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensitive information is protected by removing or redacting it from conversations, then privacy and confidentiality are improved, but the ability to retrieve and analyze the original information is lost
Solution Approach 1:
The patent segments the conversation into multiple parts: original conversation data, identified sensitive information portions, and redacted versions. This segmentation allows the system to preserve the complete original conversation for future analysis while simultaneously providing protected versions for privacy-sensitive contexts, thus resolving the contradiction between privacy protection and information accessibility
Solution Approach 2:
The patent introduces an intermediary component (the privacy-preserving program) that acts as a mediator between the raw conversation data and its various uses. This intermediary identifies, marks, and manages sensitive information without destroying the original data, enabling both privacy protection and future retrieval/analysis of the complete conversation
2Productivity
If voice application devices continuously record conversations, then the ability to respond to user needs is improved, but the collection of sensitive information without user awareness increases
Solution Approach 1:
The patent applies preliminary action by implementing automated identification and marking of sensitive information as it is being recorded during continuous conversation monitoring. The privacy-preserving program proactively detects and flags sensitive portions before they can be inadvertently misused or exposed, allowing the device to maintain continuous recording capability while preemptively protecting sensitive data
Solution Approach 2:
The system implements feedback mechanisms where the identified sensitive information portions are marked and tracked, providing continuous feedback about what sensitive data has been collected. This feedback loop enables the device to maintain productivity through continuous recording while being aware of and protecting sensitive information through automated identification and marking
Data Source
AI summary
A computer-implemented method includes identifying a plurality of protected pieces from a conversation. The computer-implemented method further includes generating one or more confidence scores for each protected piece, wherein a confidence score is a degree of associativity between a protected piece and a type of sensitive information. The computer-implemented method further includes determining that the protected piece is associated with the type of sensitive information. The computer-implemented method further includes determining a type of protection action for each protected piece in the plurality of protected pieces. The computer-implemented method further includes performing the type of protection action for each protected piece in the plurality of protected pieces to form a modified conversation that is devoid of the sensitive information. A corresponding computer system and computer program product are also disclosed.