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A Multi-solution Study on GDPR AI-enabled Completeness Checking of DPAs by Azeem, Muhammad Ilyas; Abualhaija, Sallam is a scholarly article available to read on EtoBox.

What is A Multi-solution Study on GDPR AI-enabled Completeness Checking of DPAs about?

Specifying legal requirements for software systems to ensure their compliance with the applicable regulations is a major concern to requirements engineering (RE). Personal data which is collected by an organization is often shared with other organizations to perform certain processing activities. In such cases, the General Data Protection Regulation (GDPR) requires issuing a data processing agreement (DPA) which regulates the processing and further ensures that personal data remains protected. Violating GDPR can lead to huge fines reaching to billions of Euros. Software systems involving personal data processing must adhere to the legal obligations stipulated in GDPR and outlined in DPAs. Requirements engineers can elicit from DPAs legal requirements for regulating the data processing activities in software systems. Checking the completeness of a DPA according to the GDPR provisions is therefore an essential prerequisite to ensure that the elicited requirements are complete. Analyzing DPAs entirely manually is time consuming and requires adequate legal expertise. In this paper, we propose an automation strategy to address the completeness checking of DPAs against GDPR. Specifically

Author

Azeem, Muhammad Ilyas; Abualhaija, Sallam

Published

2023

Language

EN