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Regulating Machine Learning: The Challenge Of Heterogeneity, Cary Coglianese Feb 2023

Regulating Machine Learning: The Challenge Of Heterogeneity, Cary Coglianese

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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, …


Rationing Access, Roy Baharad, Gideon Parchomovsky Jan 2023

Rationing Access, Roy Baharad, Gideon Parchomovsky

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Protection of common natural resources is one of the foremost challenges facing our society. Since Garrett Hardin published his immensely influential The Tragedy of the Commons, theorists have contemplated the best way to save common-pool resources—national parks, fisheries, heritage sites, and fragile ecosystems—from overuse and extinction. These efforts have given rise to three principal methods: private ownership, community governance, and use restrictions. In this Essay, we present a different solution to the commons problem that has eluded the attention of theorists: access rationing. Access rationing measures rely not only on restrictions on the number of users but also on …