AI-Driven Privacy Policy Visualization for User Control
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Solution Overview
Problem
Users face difficulties in understanding and navigating complex data privacy policies due to their lengthy and technical nature, leading to frequent non-compliance as they require extensive time to read and comprehend policies from various websites and applications.
Innovation Solution
A method is introduced that involves detecting attempts to access websites or applications, analyzing their data privacy policies using AI algorithms for topic modeling, sentiment analysis, and classification, and displaying a visual map to users, allowing them to compare privacy levels and make informed decisions quickly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users read and comprehend data privacy policies in full detail, then privacy understanding and compliance improve, but time consumption increases significantly
Solution Approach 1:
The patent extracts key information from lengthy data privacy policies using natural language processing and topic modeling algorithms. The system identifies and extracts essential privacy-related topics, data collection practices, and permission requirements, presenting them in a condensed format that captures the core meaning without requiring users to read the entire policy document.
Solution Approach 2:
The patent transforms one-dimensional text policies into multi-dimensional visual representations. The system generates topic models, sentiment analyses, and structured summaries that add new dimensions of understanding (visual, hierarchical, thematic) to the original text, allowing users to comprehend policy content through multiple pathways simultaneously.
2Manufacturing precision
If data privacy policies are written in detailed legal language, then precision and completeness improve, but readability and user comprehension deteriorate
Solution Approach 1:
The patent segments complex legal policies into distinct thematic sections and topics using natural language processing. The system divides the policy into manageable chunks such as data collection, data sharing, user rights, and security measures, allowing users to understand each aspect separately rather than being overwhelmed by the monolithic legal text.
Solution Approach 2:
The patent introduces an intermediary layer of AI-powered analysis between the original legal text and the user. The system uses topic modeling, sentiment analysis, and key phrase extraction to create an intermediate representation that bridges the gap between precise legal language and user-friendly comprehension, preserving accuracy while improving readability.
3Loss of information
If users are presented with complete privacy policy text, then information completeness improves, but user engagement and actual reading behavior decrease
Solution Approach 1:
The patent performs preliminary analysis of the privacy policy before presenting it to the user. The system pre-processes the policy text to generate topic models, identify key concerns, and create structured summaries in advance, so that when the user views the policy, the most important information is already organized and highlighted, enabling faster decision-making without sacrificing completeness.
Solution Approach 2:
The patent applies different levels of detail and presentation quality to different sections of the privacy policy based on their importance. The system highlights critical information such as data sharing practices and user rights with greater prominence and detail, while presenting less critical information in more condensed formats, allowing users to focus on what matters most to them.
Data Source
AI summary
A method for enabling website access is provided. The method includes detecting an attempt to access a particular website by a computing device via a network, the particular website including one or more webpages, and accessing a particular data privacy policy for the particular website. Scores of the particular data privacy policy are determined based on text of the particular data privacy policy, and a particular multidimensional coordinate is determined based on the scores of the particular data privacy policy. A map including the particular multidimensional coordinate is displayed via the computing device. An instruction from a user is received via the computing device to enable accessing of the particular website, and the accessing by the computing device of the particular website is enabled in response to the instruction from the user.