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Regulation Of Algorithmic Tools In The United States, Christopher S. Yoo, Alicia Lai Jan 2020

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 …


Chapter: “Health Law And Ethics”, Allison K. Hoffman, I. Glenn Cohen, William M. Sage Jan 2019

Chapter: “Health Law And Ethics”, Allison K. Hoffman, I. Glenn Cohen, William M. Sage

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Law and ethics are both essential attributes of a high-functioning health care system and powerful explainers of why the existing system is so difficult to improve. U.S. health law is not seamless; rather, it derives from multiple sources and is based on various theories that may be in tension with one another. There are state laws and federal laws, laws setting standards and laws providing funding, laws reinforcing professional prerogatives, laws furthering social goals, and laws promoting market competition. Complying with law is important, but health professionals also should understand that the legal and ethical constraints under which health systems …


Protecting One's Own Privacy In A Big Data Economy, Anita L. Allen Dec 2016

Protecting One's Own Privacy In A Big Data Economy, Anita L. Allen

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Big Data is the vast quantities of information amenable to large-scale collection, storage, and analysis. Using such data, companies and researchers can deploy complex algorithms and artificial intelligence technologies to reveal otherwise unascertained patterns, links, behaviors, trends, identities, and practical knowledge. The information that comprises Big Data arises from government and business practices, consumer transactions, and the digital applications sometimes referred to as the “Internet of Things.” Individuals invisibly contribute to Big Data whenever they live digital lifestyles or otherwise participate in the digital economy, such as when they shop with a credit card, get treated at a hospital, apply …


A Contractual Approach To Data Privacy, Stephanos Bibas Jan 1994

A Contractual Approach To Data Privacy, Stephanos Bibas

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No abstract provided.