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The Promise And Limits Of Lawfulness: Inequality, Law, And The Techlash, Salomé Viljoen
The Promise And Limits Of Lawfulness: Inequality, Law, And The Techlash, Salomé Viljoen
Articles
In response to widespread skepticism about the recent rise of “tech ethics”, many critics have called for legal reform instead. In contrast with the “ethics response”, critics consider the “lawfulness response” more capable of disciplining the excesses of the technology industry. In fact, both are simultaneously vulnerable to industry capture and capable of advancing a more democratic egalitarian agenda for the information economy. Both ethics and law offer a terrain of contestation, rather than a predetermined set of commitments by which to achieve more democratic and egalitarian technological production. In advancing this argument, the essay focuses on two misunderstandings common …
Show Me The (Data About The) Money!, Nizan Geslevich Packin
Show Me The (Data About The) Money!, Nizan Geslevich Packin
Utah Law Review
Information about consumers, their money, and what they do with it is the lifeblood of the flourishing financial technology (“FinTech”) sector. Historically, highly regulated banks jealously protected this data. However, consumers themselves now share their data with businesses more than ever before. These businesses monetize and use the data for countless prospects, often without the consumers’ actual consent. Understanding the dimensions of this recent phenomenon, more and more consumer groups, scholars, and lawmakers have started advocating for consumers to have the ability to control their data as a modern imperative. This ability is tightly linked to the concept of open …
Administrative Law In The Automated State, Cary Coglianese
Administrative Law In The Automated State, Cary Coglianese
All Faculty Scholarship
In the future, administrative agencies will rely increasingly on digital automation powered by machine learning algorithms. Can U.S. administrative law accommodate such a future? Not only might a highly automated state readily meet longstanding administrative law principles, but the responsible use of machine learning algorithms might perform even better than the status quo in terms of fulfilling administrative law’s core values of expert decision-making and democratic accountability. Algorithmic governance clearly promises more accurate, data-driven decisions. Moreover, due to their mathematical properties, algorithms might well prove to be more faithful agents of democratic institutions. Yet even if an automated state were …