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Full-Text Articles in Law
Transparency And Algorithmic Governance, Cary Coglianese, David Lehr
Transparency And Algorithmic Governance, Cary Coglianese, David Lehr
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Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …
Unlocking Access To Health Care: A Federalist Approach To Reforming Occupational Licensing, Gabriel Scheffler
Unlocking Access To Health Care: A Federalist Approach To Reforming Occupational Licensing, Gabriel Scheffler
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Several features of the existing occupational licensing system impede access to health care without providing appreciable protections for patients. Licensing restrictions prevent health care providers from offering services to the full extent of their competency, obstruct the adoption of telehealth, and deter foreign-trained providers from practicing in the United States. Scholars and policymakers have proposed a number of reforms to this system over the years, but these proposals have had a limited impact for political and institutional reasons.
Still, there are grounds for optimism. In recent years, the federal government has taken a range of initial steps to reform licensing …