Algorithmic Marketing And Eu Law On Unfair Commercial Practices
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Algorithmic Marketing and EU Law on Unfair Commercial Practices
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.
Algorithmic Marketing and EU Law on Unfair Commercial Practices
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.
Critical Reflections on the EUs Data Protection Regime
Author: Róisín Á Costello
language: en
Publisher: Bloomsbury Publishing
Release Date: 2024-12-26
This book brings together leading academics working on data protection law in the EU to analyse the most notable developments, and the most significant changes, which have occurred during the first 5 years of the GDPR. The book includes contributions analysing the efficacy of the Regulation's consent-based model, the struggle to regulate AdTech using the provisions of the GDPR, the controversy surrounding US-EU data sharing and the interaction of the Regulation with EU Fundamental Rights and other secondary laws regulating data. The book is unique in setting out to record a period of rapid development and significant challenge for EU law through its examination of these episodes in the life of the Regulation in a single text. Each chapter examines the changes introduced by the GDPR, analyses the effect of the Regulation in practice, and maps what the next 5 years holds for one of the world's most influential data privacy laws. The lineup of the editorial and author team reflects the pioneering role of female academics in data protection and GDPR discourse. In highlighting the controversies and conflicts which the Regulation has faced in its first 5 years, the book illuminates the significance of the GDPR's introduction in advancing our thinking about the function, form, and future of data protection law, and outlines those matters that remain to be resolved as the GDPR moves towards its first decade in force.