A BERT Based Approach to Measure Web Services Policies Compliance With GDPR

Data confidentiality is an issue of increasing importance. Several authorities and regulatory bodies are creating new laws that control how web services data is handled and shared. With the rapid increase of such regulations, web service providers face challenges in complying with these evolving regulations across jurisdictions. Providers must update their service policies regularly to address the new regulations. The challenge is that regulatory documents are large text documents and require substantial human effort to comprehend and enforce. On the other hand, web service provider privacy policies are relatively short compared to the regulatory texts, so it is hard to determine if an organization's policy document addresses the regulation's essential elements. We have developed a framework to automatically compare web service policies with regulatory policies to measure how closely the web service provider complies with a regulation. In this paper, we present our framework's details along with the results of analyzing a corpus of 3,000 privacy policies against GDPR. Our framework uses BiLSTM multi-class classification and a BERT extractive summarizer. We evaluate the framework's efficacy by checking the context similarity score between summarized GDPR and web service provider privacy policies.

Automated summary

Data confidentiality is increasingly important, with authorities creating new laws to control how web services data is handled. Web service providers face challenges in complying with evolving regulations across jurisdictions and must update their policies. Comparing web service provider privacy policies with regulatory policies is difficult due to the large and complex nature of regulatory texts.