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Full Description
Will algorithms help people or hurt them? What about artificial intelligence in general? If consumers know what they need to know and do not suffer from behavioral biases, algorithms and AI are likely to be helpful. Consumers will be more likely to get what they want and need. But if consumers lack information, algorithms in particular will be able to convince them to make harmful or foolish choices. And if consumers suffer from behavioral biases, such as unrealistic optimism or a focus on the short term, algorithms will be able to produce serious harms.
In Algorithmic Harm: Protecting People in the Age of Artificial Intelligence, Oren Bar-Gill and Cass Sunstein consider the harms and benefits of AI and algorithms and catalog the different ways in which algorithms are being or may be used in consumer and other markets. The authors identify the market conditions under which these uses injure consumers and consider policy and regulatory responses that could reduce the risks consumers, investors, workers, and voters face now—and in the future. Democracy and self-government are at risk; there is a great deal that can be done to reduce that risk.
Contents
Introduction
Part I: Algorithmic Harm in Consumer Markets
Chapter 1: Algorithmic Price Discrimination
Chapter 2: Algorithmic Price Discrimination: Extensions
Chapter 3: Algorithmic Targeting
Chapter 4: Algorithmically-Enhanced Misperceptions
Chapter 5: Algorithmic Coordination
Chapter 6: Race and Sex Discrimination
Chapter 7: Consumer-Side Algorithms
Part II: Policy and Law
Chapter 8: Regulating Preconditions for Algorithmic Harm
Chapter 9: The Right to Algorithmic Transparency
Chapter 10: Ex Post Policing and Ex Ante Regulation
Chapter 11: Applying the Reforms to the Different Harm Categories
Part III: Beyond Consumer Markets
Chapter 12: Labor Markets
Chapter 13: Political Markets
Conclusion
Bibliography
