Public Affairs, Public Policy and Public Administration Commons^™

Regulating Machine Learning: The Challenge Of Heterogeneity, Cary Coglianese

All Faculty Scholarship

Machine learning, or artificial intelligence, refers to a vast array of different algorithms that are being put to highly varied uses, including in transportation, medicine, social media, marketing, and many other settings. Not only do machine-learning algorithms vary widely across their types and uses, but they are evolving constantly. Even the same algorithm can perform quite differently over time as it is fed new data. Due to the staggering heterogeneity of these algorithms, multiple regulatory agencies will be needed to regulate the use of machine learning, each within their own discrete area of specialization. Even these specialized expert agencies, though, …

From Negative To Positive Algorithm Rights, Cary Coglianese, Kat Hefter

All Faculty Scholarship

Artificial intelligence, or “AI,” is raising alarm bells. Advocates and scholars propose policies to constrain or even prohibit certain AI uses by governmental entities. These efforts to establish a negative right to be free from AI stem from an understandable motivation to protect the public from arbitrary, biased, or unjust applications of algorithms. This movement to enshrine protective rights follows a familiar pattern of suspicion that has accompanied the introduction of other technologies into governmental processes. Sometimes this initial suspicion of a new technology later transforms into widespread acceptance and even a demand for its use. In this paper, we …

Regulation Of Algorithmic Tools In The United States, Christopher S. Yoo, Alicia Lai

All Faculty Scholarship

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 …

City Of Tigard And Takings Law, Richard D. Lazarus

Regulatory Takings and Resources: What Are the Constitutional Limits? (Summer Conference, June 13-15)

10 pages.

Contains 1 page of references.

Agenda: Regulatory Takings And Resources: What Are The Constitutional Limits?, University Of Colorado Boulder. Natural Resources Law Center, Byron R. White Center For The Study Of American Constitutional Law

Regulatory Takings and Resources: What Are the Constitutional Limits? (Summer Conference, June 13-15)

Sponsored by the University of Colorado's Natural Resources Law Center and the Byron R. White Center for American Constitutional Study.

Conference organizers, faculty and/or moderators included University of Colorado School of Law professors David H. Getches, Lawrence J. MacDonnell, Gene R. Nichol, Jr. and Mark Squillace.

Governmental regulation for environmental protection and other important public purposes can affect the manner in which land and natural resources are developed and used. The U.S. constitution (and most state constitutions) prohibit the government from "taking" property without payment of compensation. Originally intended to apply to situations where the government physically seized private property …