Ethical Tech and Engineering Post Doc Associate

The Duke Initiative for Science
& Society:  

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 Technology Fellowship is a residential fellowship that
provides an opportunity to become involved in the activities of Pratt School of
Engineering, 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 a doctoral level degree in a
relevant area to the Fellowship responsibilities listed below. The
fellowship will be overseen by Pratt Engineering Professor, Michael Zavlanos
and Lee Tiedrich, the Distinguished Faculty Fellow in Ethical Technology.

Fellowship
Responsibilities: 

This Fellowship will
study and report on data governance and risk management and impact assessments
for artificial intelligence.   Research topics will likely include the
following:

·        
Designing and evaluating metrics for
AI impact assessments, including how relevant impacts should be designed and
measured, how results can be reported and shared, how frequently impact
assessments should be conducted, and techniques for mitigating materially
adverse impacts;

·        
Designing and evaluating practices for
data governance and enhancing data quality and interoperability, including
methodologies for tracking data provenance and lineage and improving traceability,
methods for measuring and reporting on data quality, and evaluating how to
leverage synthetic data and possibly other advanced data techniques to improve
data quality and to report on such efforts in a data governance model; and

·        
Helping develop a data commons that
will provide a platform for testing impact assessments, risk management, and
data governance methodologies.

The successful
candidate should have strong writing and communications skills and enjoy
collaborating with experts, including in other disciplines, such as law and
policy. 

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual’s age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.