Meeting Presentation Privacy Filtering for Real-Time Sensitive Content
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Solution Overview
Problem
Existing technologies fail to provide computing logic and infrastructure for automatically detecting and removing sensitive content from meeting presentations in real-time or post-processing, leading to accidental sharing and inefficient manual editing processes.
Innovation Solution
Implementing programmable sensitivity mitigation actions that analyze meeting data to identify and alter or obscure sensitive content, using graphical user interfaces for user control, and optimizing computational resources through caching and on-demand processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual editing processes are used to remove sensitive content from meeting presentations, then users can control and review content changes, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system automatically detects sensitive content and applies mitigation actions without requiring manual user intervention for each instance. The automated sensitivity mitigation engine analyzes meeting presentations, identifies sensitive segments, and applies appropriate actions (redaction, blurring, masking) autonomously, freeing users from tedious manual editing while maintaining productivity
Solution Approach 2:
The system provides feedback to users about detected sensitive content and applied mitigation actions through graphical user interfaces. Users can review flagged segments, approve or modify automated decisions, and configure sensitivity settings, creating a feedback loop that combines automated efficiency with human oversight
2Reliability
If real-time sensitivity mitigation is applied to meeting presentations, then sensitive content is removed immediately, but computational resources and bandwidth are consumed
Solution Approach 1:
The system performs preliminary analysis of meeting presentations to identify sensitive content before full processing or distribution. By pre-flagging sensitive segments during initial scanning, the system prepares mitigation actions in advance, reducing computational load during real-time delivery and allowing for optimized resource allocation
Solution Approach 2:
The meeting presentation is divided into discrete segments or time-coded portions for independent analysis. The sensitivity mitigation engine processes segments individually, applying mitigation actions only to specific portions containing sensitive content rather than the entire presentation, thereby reducing overall computational resource consumption and bandwidth requirements
3Productivity
If automated sensitivity mitigation actions are applied to meeting presentations, then sensitive content is removed automatically, but false positives may occur and require user intervention
Solution Approach 1:
The system applies sensitivity mitigation actions to all potentially sensitive segments identified by the automated engine, even if some may be false positives. This excessive action ensures that no sensitive content is missed, and the graphical user interface allows users to review and remove false positive mitigations, balancing automated productivity with precision through a two-stage approach
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.


