The Duke Initiative for Science & Society is an interdisciplinary initiative that examines the wide-ranging and integral role of science in social institutions and culture. Science & Society integrates and fosters innovation in related research, education, and engagement at Duke by adopting a pluralistic approach to understanding how science and human endeavors intersect with a specific focus on ethical, legal, and social implications for science. For more information, visit our website at http://www.scienceandsociety.duke.edu. ;

 The Fellowship: 

 The Ethical Law and Policy Technology Fellowship is a fellowship that provides an opportunity to become involved in the activities of Science & Society, Duke Law School, the Sanford School of Public Policy, and Duke University, while pursuing independent scholarship at the intersection of technology, law and policy. Candidates are offered a one-year position, with a possibility of renewal for a second one-year position.  Fellows are provided with office space, a competitive stipend, and benefits. Applicants should have an engineering undergraduate level degree in a relevant area to the Fellowship responsibilities listed below. While remote work will be considered, working in-person at Duke is preferred. The fellowship will be overseen by Professor Lee Tiedrich, the Distinguished Faculty Fellow in Ethical Technology, with a dual appointment at Duke Law School and Duke Science & Society. 

Fellowship Responsibilities: 

 This Fellowship will study and report on data governance and risk management and impact assessments for artificial intelligence, principally from a policy and law perspective. Research topics will likely include the following: 

• Research and evaluating legal and policy developments pertaining to AI impact assessments and AI risk management, and 

• Research and evaluating policy and legal developments relating to data governance and data sharing; and 

• Helping develop policies for a data commons that will provide a platform for testing impact assessment and data governance methodologies. 

The successful candidate should have strong writing and communications skills and enjoy collaborating with experts in other disciplines, including computer science, data science and engineering.