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Fellowship in AI Law/Policy at UCLA

Country/Region : USA - United States

Website : https://recruit.apo.ucla.edu/apply/JPF02981

Description

UCLA School of Law’s Program on Understanding Law, Science, and Evidence, or PULSE, is now accepting applications for the PULSE Fellowship in Artificial Intelligence, Law, and Policy for the academic years 2017-2019. This fellowship is a full-time, two-year faculty position beginning in the fall of 2017. The position primarily involves sustained research and writing on the social, economic, and legal implications of artificial intelligence and machine learning. The position will also involve teaching and assisting with PULSE projects, such as conferences and workshops.
Progress in artificial intelligence and machine learning has advanced rapidly in recent years, and additional advances may proceed at an accelerating pace. Large recent progress in automated translation, face and voice recognition, anticipating criminal sentencing consequences, and automated radiological diagnosis are just a few among many salient examples. Similar technologies will alter many aspects of human life, yielding societal disruption and a need for governance.
Rather than focusing on colorful fictional treatments or relatively immediate consequences, the PULSE fellow will engage in careful, critical advance thinking about large-scale potential impacts. The fellow will evaluate methods for assessment and prediction, as well as legal, economic, institutional, regulatory, and other forms of preparation and response. The fellow’s research will culminate in the authorship of papers suitable for publication in law journals or other respected legal, scholarly, and policy outlets. Throughout, the fellow will work in collaboration with Professor of Law Edward A. Parson and PULSE Co-Director Richard M. Re, among other UCLA faculty.
PULSE explores the complex connections between law, evidence, science, and technology. PULSE engages in cutting-edge and interdisciplinary research and programming to examine how basic “facts” about our world, provided through science and credited as evidence, influence venues of law and policy making. PULSE is co-directed by UCLA School of Law Dean Jennifer L. Mnookin and Assistant Professor of Law Richard M. Re.
Candidates for the PULSE fellowship should possess a J.D. or other advanced degree, a strong academic record, excellent analytical and writing skills, and demonstrated interest or background in the fields of law and science, artificial intelligence, or social risk assessment. Candidates with previous academic, research, or professional experience in artificial intelligence, machine learning, computer science, or related fields of science and technology are especially encouraged to apply. The salary is anticipated to be approximately $90,000 per year plus a competitive benefits package. UCLA School of Law has a special interest in enriching its intellectual environment through further diversifying the range of perspectives represented within the faculty.
Applicants should apply online at https://recruit.apo.ucla.edu/apply/JPF02981.
Please submit a letter discussing your qualifications, scholarly and professional aims, and the interests you would wish to pursue while holding the fellowship; a resume; a transcript of studies in law school or graduate school; a writing sample of no more than ten pages; and contact information for three references.
To ensure full consideration, applications should be received by Monday, June 12, 2017 but will be considered thereafter until the position is filled.
Visit our website at http://www.law.ucla.edu/pulse for more information about our program.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: UC Nondiscrimination & Affirmative Action Policy (http://policy.ucop.edu/doc/4000376/NondiscrimAffir...).

Last modified: 2017-06-25 22:25:19