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Articles 1 - 4 of 4
Full-Text Articles in Business
Deploying Machine Learning For A Sustainable Future, Cary Coglianese
Deploying Machine Learning For A Sustainable Future, Cary Coglianese
All Faculty Scholarship
To meet the environmental challenges of a warming planet and an increasingly complex, high tech economy, government must become smarter about how it makes policies and deploys its limited resources. It specifically needs to build a robust capacity to analyze large volumes of environmental and economic data by using machine-learning algorithms to improve regulatory oversight, monitoring, and decision-making. Three challenges can be expected to drive the need for algorithmic environmental governance: more problems, less funding, and growing public demands. This paper explains why algorithmic governance will prove pivotal in meeting these challenges, but it also presents four likely obstacles that …
Commercial Law Intersections, Giuliano Castellano, Andrea Tosato
Commercial Law Intersections, Giuliano Castellano, Andrea Tosato
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Commercial law is not a single, monolithic entity. It has grown into a dense thicket of subject-specific branches that govern a broad range of transactions and corporate actions. When one of these events falls concurrently within the purview of two or more of these commercial law branches - such as corporate law, intellectual property law, secured transactions law, conduct and prudential regulation - an overlap materializes. We refer to this legal phenomenon as a commercial law intersection (CLI). Some notable examples of transactions that feature CLIs include bank loans secured by shares, supply chain financing arrangements, patent cross-licensing, and blockchain-based …
Regulation Of Algorithmic Tools In The United States, Christopher S. Yoo, Alicia Lai
Regulation Of Algorithmic Tools In The United States, Christopher S. Yoo, Alicia Lai
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Policymakers in the United States have just begun to address regulation of artificial intelligence technologies in recent years, gaining momentum through calls for additional research funding, piece-meal guidance, proposals, and legislation at all levels of government. This Article provides an overview of high-level federal initiatives for general artificial intelligence (AI) applications set forth by the U.S. president and responding agencies, early indications from the incoming Biden Administration, targeted federal initiatives for sector-specific AI applications, pending federal legislative proposals, and state and local initiatives. The regulation of the algorithmic ecosystem will continue to evolve as the United States continues to search …
Management-Based Regulation, Cary Coglianese, Shana M. Starobin
Management-Based Regulation, Cary Coglianese, Shana M. Starobin
All Faculty Scholarship
Environmental regulators have embraced management-based regulation as a flexible instrument for addressing a range of important problems often poorly addressed by other types of regulations. Under management-based regulation, regulated firms must engage in management-related activities oriented toward addressing targeted problems—such as planning and analysis to mitigate risk and the implementation of internal management systems geared towards continuous improvement. In contrast with more restrictive forms of regulation which can impose one-size-fits-all solutions, management-based regulation offers firms greater operational choice about how to solve regulatory problems, leveraging firms’ internal informational advantage to innovate and search for alternative measures to achieve the intended …