Abstract
Integrating regulations regarding personal data protection can be a complex task for users. Unfortunately, technical privacy-enhancing proposals lack both an efficient bond with regulations and the actual ability to help human users dealing with their interactions. This is why we propose the model of the PAw agent, a cognitive autonomous agent whose aim is to assist its human owner and to protect her data. It is capable of perceiving and reasoning on a composite normative context, and to build upon this basis a data usage policy focusing on regulation compliance. It is thus able to make the wisest choices in order to protect the right to privacy of its owner.
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