Meeting Privacy Filtering via Real-Time Sensitive Content Mitigation
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Solution Overview
Problem
Existing technologies fail to provide real-time or post-processing solutions for automatically detecting and mitigating sensitive content in meeting presentations, leading to accidental sharing and inefficient manual editing processes that consume computational resources and bandwidth.
Innovation Solution
A system that programmatically detects sensitive content in meetings by comparing concurrent audio and visual features, applying sensitivity mitigation actions such as altering or obscuring the content, and providing a graphical user interface for user control, reducing manual editing needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual editing processes are used to remove sensitive content from meeting presentations, then sensitivity mitigation can be achieved, but computational resources and bandwidth are consumed inefficiently
Solution Approach 1:
The system performs preliminary detection of sensitive content in meeting presentations before distribution or storage. By automatically identifying sensitive segments through audio-visual analysis and comparison, the system prepares mitigation actions in advance, preventing unnecessary manual editing and reducing computational waste associated with post-detection manual processing.
Solution Approach 2:
The system enables self-service automatic mitigation of sensitive content through automated detection and remediation. The meeting presentation system independently identifies sensitive content, compares it against known patterns, and applies mitigation actions without requiring manual human intervention, thereby eliminating the computational overhead of manual editing processes.
2Reliability
If real-time detection and mitigation of sensitive content is implemented, then sensitivity mitigation is improved, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a unified meeting presentation platform. The same system that handles meeting scheduling, audio-visual processing, and content delivery also performs sensitive content detection and mitigation. By making the meeting system multi-functional, additional detection capabilities are added without requiring separate dedicated devices, thus managing complexity while improving sensitivity mitigation.
Solution Approach 2:
The system introduces an intermediary detection layer that sits between content creation and distribution. This intermediary component automatically analyzes meeting content for sensitivity issues and applies mitigation before content leaves the system. By positioning this detection mechanism as an intermediary rather than a core component, the system manages complexity while achieving reliable sensitivity mitigation.
3Productivity
If automated sensitivity detection is applied to meeting presentations, then manual editing needs are reduced, but the system requires advanced audio-visual comparison capabilities
Solution Approach 1:
The system merges audio analysis and visual analysis capabilities into a unified detection framework. By combining these capabilities within the existing meeting presentation system that already processes both audio and visual content, the system leverages existing infrastructure rather than adding separate complex analysis systems, thus improving manual editing efficiency while managing the complexity of audio-visual comparison.
Data Source
AI summary
Embodiments disclosed herein are directed to computing technology for programmatically sanitizing unwanted content that is shared in a meeting. The unwanted content may be sanitized in real-time and in a meeting presentation. In an implementation, the unwanted content is detected, and a determining a sensitivity mitigation action is determined for the unwanted content. The sensitivity mitigation action is applied to generate a modified presentation of a live meeting presentation such that aspects of the unwanted content are removed. A graphical user interface (GUI) tool is disclosed to enable users to control application of a sensitivity mitigation action. In this manner, embodiments disclosed herein facilitate complying with a privacy policy.