Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
119 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Machine Understandable Policies and GDPR Compliance Checking (2001.08930v1)

Published 24 Jan 2020 in cs.CY and cs.AI

Abstract: The European General Data Protection Regulation (GDPR) calls for technical and organizational measures to support its implementation. Towards this end, the SPECIAL H2020 project aims to provide a set of tools that can be used by data controllers and processors to automatically check if personal data processing and sharing complies with the obligations set forth in the GDPR. The primary contributions of the project include: (i) a policy language that can be used to express consent, business policies, and regulatory obligations; and (ii) two different approaches to automated compliance checking that can be used to demonstrate that data processing performed by data controllers / processors complies with consent provided by data subjects, and business processes comply with regulatory obligations set forth in the GDPR.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (4)
  1. Piero A. Bonatti (9 papers)
  2. Sabrina Kirrane (12 papers)
  3. Iliana M. Petrova (2 papers)
  4. Luigi Sauro (6 papers)
Citations (40)

Summary

We haven't generated a summary for this paper yet.