Book contents
- The Cambridge Handbook of AI and Consumer Law
- The Cambridge Handbook of AI and Consumer Law
- Copyright page
- Contents
- Detailed Contents
- Contributors
- Preface
- Statement
- Part I Rise of AI Consumer Markets
- 1 AI and Consumers
- 2 Artificial Intelligence for Consumers
- 3 Substituted Consumers
- 4 AI and Consumers’ Well-Being
- Part II Consumer Choice
- Part III Liability
- Part IV Harm
- Part V Application and Regulation of AI
2 - Artificial Intelligence for Consumers
Advances in Recommendation Systems
from Part I - Rise of AI Consumer Markets
Published online by Cambridge University Press: 21 October 2024
Book contents
- The Cambridge Handbook of AI and Consumer Law
- The Cambridge Handbook of AI and Consumer Law
- Copyright page
- Contents
- Detailed Contents
- Contributors
- Preface
- Statement
- Part I Rise of AI Consumer Markets
- 1 AI and Consumers
- 2 Artificial Intelligence for Consumers
- 3 Substituted Consumers
- 4 AI and Consumers’ Well-Being
- Part II Consumer Choice
- Part III Liability
- Part IV Harm
- Part V Application and Regulation of AI
Summary
Recommender systems (RSs) are one of the most important examples of how AI can be used to improve the experience of consumers, as well as to increase revenues for companies. The chapter presents a short survey of the main approaches. The manipulation of consumer behavior by RCs is less a legal issue, then an ethical one, which should be considered when designing these type of systems
Keywords
- Type
- Chapter
- Information
- The Cambridge Handbook of AI and Consumer LawComparative Perspectives, pp. 9 - 18Publisher: Cambridge University PressPrint publication year: 2024