Law Commons^™

Modeling Through, Ryan Calo

Articles

Theorists of justice have long imagined a decision-maker capable of acting wisely in every circumstance. Policymakers seldom live up to this ideal. They face well-understood limits, including an inability to anticipate the societal impacts of state intervention along a range of dimensions and values. Policymakers cannot see around corners or address societal problems at their roots. When it comes to regulation and policy-setting, policymakers are often forced, in the memorable words of political economist Charles Lindblom, to “muddle through” as best they can.

Powerful new affordances, from supercomputing to artificial intelligence, have arisen in the decades since Lindblom’s 1959 article …

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 …

Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii

Articles

Artificial intelligence (AI) is rapidly moving to change the healthcare system. Driven by the juxtaposition of big data and powerful machine learning techniques—terms I will explain momentarily—innovators have begun to develop tools to improve the process of clinical care, to advance medical research, and to improve efficiency. These tools rely on algorithms, programs created from healthcare data that can make predictions or recommendations. However, the algorithms themselves are often too complex for their reasoning to be understood or even stated explicitly. Such algorithms may be best described as “black-box.” This article briefly describes the concept of AI in medicine, including …

Data Breach (Regulatory) Effects, David Thaw

Articles

No abstract provided.

The Efficacy Of Cybersecurity Regulation, David Thaw

Articles

Cybersecurity regulation presents an interesting quandary where, because private entities possess the best information about threats and defenses, legislatures do – and should – deliberately encode regulatory capture into the rulemaking process. This relatively uncommon approach to administrative law, which I describe as Management-Based Regulatory Delegation, involves the combination of two legislative approaches to engaging private entities' expertise. This Article explores the wisdom of those choices by comparing the efficacy of such private sector engaged regulation with that of a more traditional, directive mode of regulating cybersecurity adopted by the state legislatures. My analysis suggests that a blend of these …

Enlightened Regulatory Capture, David Thaw

Articles

Regulatory capture generally evokes negative images of private interests exerting excessive influence on government action to advance their own agendas at the expense of the public interest. There are some cases, however, where this conventional wisdom is exactly backwards. This Article explores the first verifiable case, taken from healthcare cybersecurity, where regulatory capture enabled regulators to harness private expertise to advance exclusively public goals. Comparing this example to other attempts at harnessing industry expertise reveals a set of characteristics under which regulatory capture can be used in the public interest. These include: 1) legislatively-mandated adoption of recommendations by an advisory …