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Comment Data From Ceri, 4-3-2017, Cornell Erulemaking Initiative
Comment Data From Ceri, 4-3-2017, Cornell Erulemaking Initiative
Cornell e-Rulemaking Initiative Publications
This file contains comment data from ten live policy discussions held on RegulationRoom.org and SmartParticipation.com from May 2010 to November 2016. A cross-disciplinary group of Cornell researchers, the Cornell eRulemaking Initiative (CeRI), created the experimental platforms for public participation in policymaking processes. CeRI used selected live federal agency rulemakings and other policy discussions to discover how the design and process of online engagement can support public discussion that is informed, inclusive and insightful.
Regulating By Robot: Administrative Decision Making In The Machine-Learning Era, Cary Coglianese, David Lehr
Regulating By Robot: Administrative Decision Making In The Machine-Learning Era, Cary Coglianese, David Lehr
All Faculty Scholarship
Machine-learning algorithms are transforming large segments of the economy, underlying everything from product marketing by online retailers to personalized search engines, and from advanced medical imaging to the software in self-driving cars. As machine learning’s use has expanded across all facets of society, anxiety has emerged about the intrusion of algorithmic machines into facets of life previously dependent on human judgment. Alarm bells sounding over the diffusion of artificial intelligence throughout the private sector only portend greater anxiety about digital robots replacing humans in the governmental sphere. A few administrative agencies have already begun to adopt this technology, while others …