Artificial Intelligence (AI) systems are increasingly being deployed by marketing entities in connection with consumers' interactions. Thanks to machine learning (ML) and cognitive computing technologies, businesses can now analyse vast amounts of data on consumers, generate new knowledge, use it to optimize certain processes, and undertake tasks that were previously impossible.
Against this background, this book analyses new algorithmic commercial practices, discusses their challenges for consumers, and measures such developments against the current EU legislative framework on consumer protection. The book adopts an interdisciplinary approach, building on empirical findings from AI applications in marketing and theoretical insights from marketing studies, and combining them with normative analysis of privacy and consumer protection in the EU.
The content is divided into three parts. The first part analyses the phenomenon of algorithmic marketing practices and reviews the main AI and AI-related technologies used in marketing, e.g. Big data, ML and NLP. The second part describes new commercial practices, including the massive monitoring and profiling of consumers, the personalization of advertising and offers, the exploitation of psychological and emotional insights, and the use of human-like interfaces to trigger emotional responses. The third part provides a comprehensive analysis of current EU consumer protection laws and policies in the field of commercial practices. It focuses on two main legal concepts, their shortcomings, and potential refinements: vulnerability, understood as the conceptual benchmark for protecting consumers from unfair algorithmic practices; manipulation, the substantive legal measure for drawing the line between fair and unfair practices.

Presents a comprehensive review of Artificial Intelligence technologies in business-to-consumer marketing Covers a vast array of topics illustrating the evolution of business practices with Artificial Intelligence Provides an in-depth focus on surveillance and personalization practices in digital consumer markets

Autorentext
Federico Galli is a Research Fellow at CIRSFID-Alma AI, University of Bologna. In 2021, he obtained the PhD title in Law Science and Technology from the University of Bologna and the University of Luxembourg. During this period, he has gained research experiences in the field of Computer Law (in particular, privacy, data protection law, contract, and consumer law of AI) and in Law and Ethics of AI. He has published in Italian and international journals. He is currently involved in several projects in legal and ethical issues of computation and in legal informatics.

Klappentext

• 1. Some Preliminary Remarks. - Part I Introducing Algorithmic Marketing. - 2. Algorithmic Marketing. - Part II Algorithmic Marketing Practices. - 3. Data-Driven Surveillance. - 4. Predictive Personalisation. - 5. Empathetic Connection. - Part III Algorithmic Marketing and EU Law on Commercial Practices. - 6. EU Law on Unfair Commercial Practices. - 7. Digital Vulnerability. - 8. Algorithmic Manipulation. - 9. EU Law on Fair Trading 2.0: A New Hope.

  Inhalt

  • 1. Some Preliminary Remarks. - Part I Introducing Algorithmic Marketing. - 2. Algorithmic Marketing. - Part II Algorithmic Marketing Practices. - 3. Data-Driven Surveillance. - 4. Predictive Personalisation. - 5. Empathetic Connection. - Part III Algorithmic Marketing and EU Law on Commercial Practices. - 6. EU Law on Unfair Commercial Practices. - 7. Digital Vulnerability. - 8. Algorithmic Manipulation. - 9. EU Law on Fair Trading 2.0: A New Hope.