
This book provides essential insights on dark patterns and AI-powered deceptive design for anyone who wants to understand and challenge the pervasive influence of these hidden forces shaping our digital experiences. These hidden design strategies – from personalised user interface triggers to sophisticated backend systems – are often used to manipulate user behaviour in ways that benefit businesses at the expense of users. With advanced profiling driven by AI, these deceptive techniques can tailor digital environments to each user, raising significant questions about privacy, control and the boundaries of digital design. The book examines the response of regulators, from the GDPR, Digital Services Act and AI Act in the EU to emerging frameworks in the USA, Brazil and India. Through real-world examples, it explains how these laws fail to address deceptive design practices and explores the implications for privacy, autonomy and consumer protection in the digital age. By uncovering the complex layers of modern deceptive design, the book equips readers with the knowledge to recognise these tactics and consider their impact on user choice and trust. It is essential reading for legal professionals, digital rights advocates, designers, and anyone invested in fair digital practices.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
