Democratizing GDPR Compliance: AI-Driven Privacy Policy Interpretation
Year: 2024
Type: conference-paper
Abstract: With long privacy policies, users face the challenge of understanding them easily in order to ensure that their privacy rights are upheld. This paper presents an approach for democratizing GDPR compliance through AI-driven privacy policy interpretation. The methodology leverages advanced artificial intelligence techniques of Large Language Models (LLMs) for implementing effective comprehension of privacy policies. By extracting key information related to personally identifiable information (PII), the proposed solution empowers users to make informed decisions about their data privacy. The effectiveness of AI-driven privacy policy interpretation has been shown via various examples of automated summarization of lengthy and complex privacy policies as compliant/non-compliant to GDPR. Overall, it makes privacy policies more accessible, relevant, and actionable for users.
Authors: Sangeeta Mittal, Saksham Gupta, Kritarth Bansal, Geetali Aggarwal
Institution: Jaypee Institute of Information Technology
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4403882729