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Science and Technology Law

University of Michigan Law School

2021

Technology

Series

Articles 1 - 3 of 3

Full-Text Articles in Law

The Promise And Limits Of Lawfulness: Inequality, Law, And The Techlash, Salomé Viljoen Sep 2021

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 …


Designing Legal Experiences, Maximilian A. Bulinski, J.J. Prescott Feb 2021

Designing Legal Experiences, Maximilian A. Bulinski, J.J. Prescott

Book Chapters

Technological advancements are improving how courts operate by changing the way they handle proceedings and interact with litigants. Court Innovations is a socially minded software startup that enables citizens, law enforcement, and courts to resolve legal matters through Matterhorn, an online communication and dispute resolution platform. Matterhorn was conceived at the University of Michigan Law School and successfully piloted in two Michigan district courts beginning in 2014. The platform now operates in over 40 courts and in at least eight states, and it has facilitated the resolution of more than 40,000 cases to date. These numbers will continue to grow …


Clearing Opacity Through Machine Learning, W. Nicholson Price Ii, Arti K. Rai Jan 2021

Clearing Opacity Through Machine Learning, W. Nicholson Price Ii, Arti K. Rai

Articles

Artificial intelligence and machine learning represent powerful tools in many fields, ranging from criminal justice to human biology to climate change. Part of the power of these tools arises from their ability to make predictions and glean useful information about complex real-world systems without the need to understand the workings of those systems.