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Public Law and Legal Theory

Regulation

2021

University of Pennsylvania Carey Law School

Articles 1 - 3 of 3

Full-Text Articles in Law

Regulating New Tech: Problems, Pathways, And People, Cary Coglianese Dec 2021

Regulating New Tech: Problems, Pathways, And People, Cary Coglianese

Faculty Scholarship at Penn Law

New technologies bring with them many promises, but also a series of new problems. Even though these problems are new, they are not unlike the types of problems that regulators have long addressed in other contexts. The lessons from regulation in the past can thus guide regulatory efforts today. Regulators must focus on understanding the problems they seek to address and the causal pathways that lead to these problems. Then they must undertake efforts to shape the behavior of those in industry so that private sector managers focus on their technologies’ problems and take actions to interrupt the causal pathways ...


The Irony Of Health Care’S Public Option, Allison K. Hoffman Jan 2021

The Irony Of Health Care’S Public Option, Allison K. Hoffman

Faculty Scholarship at Penn Law

The idea of a public health insurance option is at least a half century old, but has not yet had its day in the limelight. This chapter explains why if that moment ever comes, health care’s public option will fall short of expectations that it will provide a differentiated, meaningful alternative to private health insurance and will spur health insurance competition.

Health care’s public option bubbled up in its best-known form in California in the early 2000s and got increasing mainstream attention in the lead up to the 2010 health reform, the Patient Protection and Affordable Care Act ...


Administrative Law In The Automated State, Cary Coglianese Jan 2021

Administrative Law In The Automated State, Cary Coglianese

Faculty Scholarship at Penn Law

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 ...