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[[John McGinnis]] encourages governments to accelerate friendly AI research. Because the goalposts of friendly AI are not necessarily eminent, he suggests a model similar to the [[National Institutes of Health]], where "Peer review panels of computer and cognitive scientists would sift through projects and choose those that are designed both to advance AI and assure that such advances would be accompanied by appropriate safeguards." McGinnis feels that peer review is better "than regulation to address technical issues that are not possible to capture through bureaucratic mandates". McGinnis notes that his proposal stands in contrast to that of the [[Machine Intelligence Research Institute]], which generally aims to avoid government involvement in friendly AI.<ref name=McGinnis2010>{{cite journal|last1=McGinnis|first1=John O.|title=Accelerating AI|journal=Northwestern University Law Review|date=Summer 2010|volume=104|issue=3|pages=1253–1270|url=http://www.law.northwestern.edu/LAWREVIEW/Colloquy/2010/12/|access-date=16 July 2014|archive-date=1 December 2014|archive-url=https://web.archive.org/web/20141201201600/http://www.law.northwestern.edu/LAWREVIEW/Colloquy/2010/12/|url-status=live}}</ref>
==Criticism==
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