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Structuring privacy policy: an AI approach.

Shani Alkoby1, Ron S Hirschprung1

  • 1Faculty of Engineering, Industrial Engineering and Management, Ariel University, Ariel, Israel.

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Summary
This summary is machine-generated.

This study introduces an AI-driven method to automatically structure unstructured privacy policies, making them easier for people and AI to understand. This approach enhances privacy control by overcoming the challenges of complex legal language and document changes.

Keywords:
artificial intelligencehuman computer interactionmachine learningpolicyprivacy

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Area of Science:

  • Computer Science
  • Information Science
  • Legal Informatics

Background:

  • Privacy policies are legally mandated but difficult for users to understand due to complex language and frequent updates.
  • Existing methods struggle to process and structure the free-text nature of privacy policies effectively.
  • There's a gap between privacy regulations and users' ability to access and utilize privacy policy information.

Purpose of the Study:

  • To develop a novel methodology for automatically structuring unstructured privacy policy text into predefined parameters.
  • To enhance user comprehension and accessibility of privacy policy information.
  • To bridge the gap between privacy regulations and practical user benefit.

Main Methods:

  • A two-layer artificial intelligence (AI) process was designed to receive and structure privacy policy text.
  • The methodology focuses on overcoming challenges like cognitive burden and document dynamics.
  • The AI approach aims to standardize the presentation of privacy information.

Main Results:

  • An empirical study evaluated 49 actual privacy policies.
  • The methodology achieved an average F1-score greater than 0.8.
  • Five out of six predefined parameters demonstrated very high classification accuracy.

Conclusions:

  • The proposed AI methodology effectively structures privacy policies, making them more accessible.
  • This approach benefits both human users and AI agents by simplifying complex information.
  • The research addresses a critical need for improved usability of privacy policies in the digital age.