HEC Paris | Developing an Automated Compliance App to help Firms Comply with Privacy Regulations

David Restrepo Amariles — ACT researcher and associate professor at HEC Paris — is developing and testing with industrial partners an application using artificial intelligence methods, including machine learning, in order to verify a company's privacy documents and reinforce privacy.

This application could serve consumers, lawyers, data protection officers, legal departments, and managers in auditing the privacy documents of a company. But more importantly, it aims to further generate privacy compliance in the back end of data flows, or in other words, to ensure companies are informed of data practices so they can take privacy preserving decisions. Privatech allows managers who are not specialized in privacy protection to conduct a preliminary compliance assessment and detect potential issues requiring specialized advice.



Privatech uses machine learning to automate the process of complying with legislation. With the help of several law firms and companies including Atos, one of the largest IT companies in Europe, HEC Paris researchers created a tool for automating the assessment of privacy policies. 

To learn more about it

This content has been updated on 5 January 2021 at 17 h 09 min.