Post-Baccalaureate Fellowship in Ethical AI
This paid Fellowship provides recent college graduates a chance to
learn from and contribute to an interdisciplinary NSF-funded research team on
Ethical Artificial Intelligence (AI).
About the Fellowship
This Post-Baccalaureate Fellow will serve as a full-time in-residence
fellow at the Duke Initiative for Science & Society, working under the
direction of Dr. Nita Farahany, the Robinson O. Everett Distinguished Professor
of Law & Philosophy at Duke University, and Director of the Duke Initiative
for Science & Society. The fellow will join an NSF-funded collaborative interdisciplinary
research team focused on the ethical design and analysis of AI and
computational systems. The fellow will have the opportunity to research and develop
manuscripts concerning the ethical, legal, and social implications of AI; assist
in the creation of educational modules based on AI ethics case studies; and
participate in ethics consultations to advise AI researchers. This will include
exploring issues of algorithmic bias, discrimination, transparency, innovation,
implications for workforce skilling, and distributional concerns in the
development and deployment of artificial intelligence and machine learning.
While several technological solutions have (and will be developed) over time,
there is still little consistency across society and cultures in addressing the
societal implications of AI. Together with other team members, a major goal of
the fellowship is to embed ethical design and analysis into the major work
streams of an NSF-funded AI Institute. The fellow will spend 80% of
their time contributing to the 5-year NSF funded AI Institute (Athena) and 20%
of their time supporting other research projects under the direction of Dr.
Farahany.
Qualifications
This one-year fellowship is designed for pre-doctoral candidates
and the successful candidate will begin in residence at Duke University on August
1, 2022. Fellows must have completed their bachelor’s degree within the past three
years to be eligible for the fellowship and be authorized to work in the U.S. The
successful candidate will have working knowledge of computing (such as AI,
mobile networks, computing resources, and network infrastructure) as well as
the ethical and policy issues surrounding their implementation.
Application Materials Required:
Submit (shorturl.at/acqG0) the
following items online at this website to complete your application:
Further Info:
scienceandsociety.duke.edu; Madeline
Liddicoat (madeline.liddicoat@duke.edu)
Diversity, Equity and Inclusion are core values of Science &
Society. Applicants with a demonstrated commitment to issues of diversity in
higher education are particularly encouraged to apply.