Paper Number

ICIS2025-1910

Paper Type

Short

Abstract

Privacy policies explain how personal data is collected, stored, and used, but they are often too complex for users to understand. This study explores how Large Language Models (LLMs), like OpenAI’s GPT-4, can simplify these policies while keeping their legal meaning intact. Through prompt engineering, we identified effective strategies to produce clear and concise summaries. We tested these on 25 real privacy policies and evaluated the results using readability metrics. Based on our findings, we created a Chrome extension that extracts privacy policy content from websites and simplifies it in real time using GPT-4. Users see easy-to-read summaries and can ask questions about the policy through an interactive Q&A feature, which provides contextual answers. This dual approach improves users’ understanding and supports more informed consent, helping people better engage with online privacy terms and making a meaningful impact on digital transparency.

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09-Cybersecurity

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Dec 14th, 12:00 AM

Automated Privacy Policy Simplification through a GPT-Powered Chrome Extension

Privacy policies explain how personal data is collected, stored, and used, but they are often too complex for users to understand. This study explores how Large Language Models (LLMs), like OpenAI’s GPT-4, can simplify these policies while keeping their legal meaning intact. Through prompt engineering, we identified effective strategies to produce clear and concise summaries. We tested these on 25 real privacy policies and evaluated the results using readability metrics. Based on our findings, we created a Chrome extension that extracts privacy policy content from websites and simplifies it in real time using GPT-4. Users see easy-to-read summaries and can ask questions about the policy through an interactive Q&A feature, which provides contextual answers. This dual approach improves users’ understanding and supports more informed consent, helping people better engage with online privacy terms and making a meaningful impact on digital transparency.

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