Consumer Data and US Regulation Part II: Statutory Law

LEARNING OBJECTIVES To learn about the various federal statutes that regulate consumer privacy, to understand state regulation of consumer privacy, especially the California Consumer Privacy Act, to learn about how the First Amendment limits privacy statutes.   Length: Approximately 1 hour Written by: Professors Daniel J. Solove and Paul M. Schwartz Instructor: Professor Daniel J.…

Reinventing Capitalism 1

Viktor Mayer-Schönberger, Reinventing Capitalism in the Age of Big Data (2018)

From Kevin Werbach (The Wharton School, University of Pennsylvania): “Anyone interested in the future of business should read this fascinating book as soon as possible. By now it is conventional wisdom–thanks in no small part to Mayer-Schönberger’s previous book–that big data will transform the way firms operate. Reinventing Capitalism in the Age of Big Data…

Efficiency Paradox

Edward Tenner, The Efficiency Paradox: What Big Data Can’t Do (2018)

From Arthur Molella (Smithsonian Lemelson Center for the Study of Invention and Innovation): “This masterly study challenges naïve assumptions that characterize our twenty-first-century world of electronic hyperefficiency. Computers, big data, and artificial intelligence are too often allowed to supersede human judgment and indeed undermine our very self-confidence as human beings. Yet no electronic machine can…

Artificial Unintelligence 1

Meredith Broussard, Artificial Unintelligence: How Computers Misunderstand the World (2018)

From Times Higher Education: “Illustrated with examples from Broussard’s own work and experience, this is an intensely personal journey that gives a real sense of travelling with a friend. Her descriptions of hackathons and other aspects of start-up culture are honest and atmospheric, capturing the social as well as the technical aspects of the marketplace…

Prediction Machines 1

Ajay Agrawal, Joshua Gans, and Avi Goldfarb, Prediction Machines: The Simple Economics of Artificial Intelligence (2018)

From Susan Athey (Stanford University): “Prediction Machines is a path-breaking book that focuses on what strategists and managers really need to know about the AI revolution. Taking a grounded, realistic perspective on the technology, the book uses principles of economics and strategy to understand how firms, industries, and management will be transformed by AI.”