Using Machine Learning to Enforce the CCPA: An Experimental Study

Abstract

The CCPA provides one of the most ambitious regulatory approaches to privacy protections the U.S. has seen to date. However, many companies that fall under the CCPA allegedly fail to comply with its requirements. While the California Attorney General’s office plays an important part in ensuring enforcement, the CCPA also relies on the general public to ensure compliance. This paper examines the feasibility of promoting said compliance using a field experiment that builds on recent advancements in computational linguistics and machine learning. In doing so, the paper also generates evidence for what drives compliance inside organizations.