ABSTRACT
Artificial intelligence (AI) has disrupted the ways customers and firms interact. However, AI runs on data and, in the case of this chapter, customers’ personal informational data. Yet, even in the face of a new paradigm for AI and customers’ online behaviors, there is a need for clarification of key concepts and definitions in this domain. The main objective of this chapter is threefold. First to provide a concrete definition of data privacy which will conceptually drive this chapter. Second, we focus on the three popular types of AI in the marketing domain AI types prevalent (natural language processing, machine learning, and deep learning) and identify how they give way to AI data privacy issues. Third, this study will provide two case studies (Clearview AI and Hello Barbie) which document and explicate the means by which AI collects customer data and how this gives way to data privacy issues. Overall, this chapter will provide a conceptual alignment and understanding of the complex arena of AI and data privacy.
