Online Terms Summarization for Informed Consent
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
End users often provide consent to online terms of use without proper understanding due to lengthy and complex documents, often in non-native languages, leading to a lack of informed consent, especially with frequent changes and varying regulatory requirements across different jurisdictions.
Innovation Solution
A computer-implemented system that interprets and summarizes online terms of use by categorizing, normalizing, and ranking key phrases, providing a user-friendly summary in the preferred language, and highlighting changes between versions, while considering applicable laws and regulations, allowing users to make informed decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users review complete terms of use agreements, then understanding and informed consent improve, but time consumption and complexity increase
Solution Approach 1:
The system extracts and highlights only the most relevant and material terms from lengthy agreements, separating critical information from boilerplate text. This allows users to quickly review essential provisions without reading entire documents, maintaining informed consent while reducing time investment.
Solution Approach 2:
The system acts as an intermediary between the complex legal text and the user, providing summarized explanations, plain language translations, and contextual annotations. This mediator function bridges the gap between detailed terms and user comprehension, enabling informed decisions without full document review.
2Reliability
If terms of use agreements are made comprehensive and detailed, then legal coverage and protection improve, but readability and user understanding deteriorate
Solution Approach 1:
The system applies different levels of detail and explanation to different sections of the agreement based on their importance and complexity. Critical terms receive detailed plain language explanations, while standard boilerplate sections receive minimal treatment. This localized approach maintains legal coverage while improving overall readability.
Solution Approach 2:
The agreement is segmented into distinct sections with varying levels of detail presented to the user. The system divides comprehensive legal text into manageable segments, highlighting key provisions and providing explanatory notes only where necessary, thereby maintaining completeness while enhancing readability.
3Adaptability or versatility
If terms of use agreements are frequently updated to reflect regulatory changes, then legal compliance and adaptability improve, but user confusion and tracking difficulty increase
Solution Approach 1:
The system performs preliminary analysis of updated terms compared to previous versions, automatically identifying and highlighting changes before users review the agreement. This preliminary comparison action helps users understand what has changed without manually tracking multiple versions, reducing confusion while maintaining compliance.
Solution Approach 2:
The system provides feedback to users about changes in terms of use agreements, notifying them of updates and explaining significant modifications. This feedback mechanism helps users track changes across versions without requiring them to manually compare documents, simplifying the tracking process while ensuring awareness of regulatory updates.
Data Source
AI summary
In an approach to interpreting and summarizing online terms of use, a computer receives a terms of use agreement from a data source and a request for interpretation of the terms of use agreement from a user. A computer categorizes the terms of use agreement into one or more categories based on a type of data source of the terms of use agreement. A computer ranks one or more words in the terms of use agreement based on the categorization and on one or more additional terms of use agreements of the type of data source. A computer generates a summary of the terms of use agreement based on the ranking. A computer displays the summary of the terms of use agreement to the user. A computer receives input from the user associated with consent to the terms of use agreement. A computer stores the input.


