Privacy Recommendation Matching for Complex Policy Disclosure
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Solution Overview
Problem
Data subject users face difficulties in understanding and enforcing their data privacy protection rights due to lengthy and complex policies that are not easily accessible or updated, often vague, and do not disclose specific data use methods, making it hard to comply with regional regulations.
Innovation Solution
A computer-implemented method and system that creates an entity user account with a graphical user interface, assigns a unique alpha-numeric identifier, and matches users to online vendors based on privacy standards, policies, and user inputs to provide personalized privacy rights recommendations and rewards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data processors and data controllers provide comprehensive privacy policies and terms of service, then data subject users can understand their privacy rights, but the policies become lengthy and difficult to locate and understand
Solution Approach 1:
The system segments comprehensive privacy policies into specific, actionable data use disclosures organized by category (e.g., marketing, analytics, security). Each segment presents only relevant information to the user based on their interactions, breaking down the monolithic policy into manageable pieces that are easier to understand and locate.
Solution Approach 2:
The patent introduces an intermediary system that acts as a mediator between the data processor's privacy policy and the data subject user. This intermediary automatically generates, updates, and presents personalized privacy disclosures based on actual data processing activities, translating complex legal language into user-friendly formats while maintaining accuracy and compliance.
2Reliability
If privacy policies are updated to reflect latest regulations, then compliance is maintained, but policies may not be kept updated and become outdated
Solution Approach 1:
The system implements continuous feedback loops that automatically monitor changes in privacy regulations and data processing activities. When regulations are updated or data processing changes occur, the system automatically generates updated privacy disclosures and notifies affected users, ensuring real-time compliance without manual intervention delays.
Solution Approach 2:
The patent establishes preliminary mechanisms for tracking regulatory changes and preparing update templates in advance. When new regulations are announced, the system pre-processes the required policy changes and readiness states, enabling rapid deployment once formal updates are needed, thus maintaining compliance without last-minute rushes.
3Loss of information
If specific data use methods are disclosed, then users can make informed decisions, but policies become more detailed and harder to understand
Solution Approach 1:
The system applies local quality by customizing privacy disclosures to each user's specific context, preferences, and interactions. Instead of presenting all possible data uses to every user, the system dynamically adjusts the level of detail and presentation format based on individual user characteristics, making the information both transparent and personally relevant without overwhelming any single user.
Solution Approach 2:
The patent implements dynamic privacy disclosures that adapt in real-time based on user actions, device type, location, and other contextual factors. The same data processing activity may be disclosed differently to different users or at different stages of interaction, allowing the system to maintain transparency while adjusting complexity to match user needs and capabilities.
Data Source
AI summary
A system and method for dynamically optimizing online privacy recommendations for entity users. Certain aspects of the present disclosure provide for methods and systems for optimizing an entity privacy rights recommendation in online transactions. In certain embodiments, an entity user creates an account within an end user application comprising a graphical user interface configured to display one or more privacy rights education prompt and an entity user privacy score. The entity user is assigned a unique alpha-numeric identifier for the entity user within the entity user account. The end user application is configured to match the entity user to one or more online category good or service vendor according to the unique alpha-numeric identifier and provide an entity privacy rights recommendation comprising the one or more online category good or service vendor matched to the entity user.