Privacy Charter System for Automated Policy Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current privacy tools are inadequate in providing users with control over their data privacy settings, as they are often complex, user-unfriendly, and cannot accommodate individual privacy concerns effectively.
Innovation Solution
A system and method for creating and managing personalized privacy charters that allow users to set their own privacy preferences and needs, including analyzing and classifying data processing agreements from digital service providers to generate a policy analysis model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional privacy tools are used, then data protection is provided, but user control and ease of operation are poor due to complexity
Solution Approach 1:
The patent introduces a privacy charter as an intermediary layer between users and complex privacy policies. The charter translates legalistic privacy policy language into user-friendly preferences that users can easily understand and control, while still effectively managing data protection. This mediator converts the complex DPA terms into simple yes/no decisions for users.
Solution Approach 2:
The patent replaces manual review and configuration of complex privacy policies with an automated machine learning system. The system automatically analyzes DPAs, extracts relevant clauses, and configures privacy settings based on user preferences without requiring users to manually navigate complex legal documents.
2Reliability
If comprehensive privacy policies are implemented, then data protection is improved, but time to configure and manage privacy settings increases
Solution Approach 1:
The patent performs preliminary analysis of privacy policies and pre-configures privacy settings based on user preferences before the user needs to make decisions. The system proactively identifies relevant privacy clauses and prepares recommended configurations, eliminating the need for users to spend time reviewing and configuring settings manually.
Solution Approach 2:
The patent enables the privacy management system to automatically configure and adjust privacy settings based on user preferences without requiring continuous user intervention. Once users establish their privacy charter preferences, the system autonomously manages data protection across multiple services.
3Adaptability or versatility
If standardized privacy settings are used, then ease of operation is improved, but adaptability to individual privacy concerns is reduced
Solution Approach 1:
The patent applies different privacy protection levels to different data types and services based on user-specific preferences. Instead of a single standardized setting, the system creates customized privacy configurations for each data category (e.g., location, contacts, camera) and each service, allowing users to express granular individual concerns.
Solution Approach 2:
The patent creates a dynamic privacy management system that adapts to changing user preferences and service requirements. The privacy charter is not static but can be modified as users' concerns evolve, and the system automatically adjusts configurations to maintain alignment with current user preferences.
Data Source
AI summary
A configurable, customizable privacy-protecting tool permits users to specify a personal/corporate privacy charter which is used to engage with digital service providers (DSPs) and similar entities. The privacy charter can be adapted to reflect individual and corporate goals and requirements for data treatment across a number of domains and in accordance with different standards/thresholds.