STAU Summer Fellowship for Public Sector AI Governance (PS-AIG)
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Keywords
AI , Artificial Intelligence , PIT , public interest technology , Governance , Data & Algorithms , Career Pathways and Pipelines
Project
Authors
Ho, Daniel
Date Submitted
7/1/23
Material Type
Report
Secondary Material Type
Guide
Model
Registered Apprenticeship
Report
Workshop and Training Material
Model
Registered Apprenticeship
Report
Workshop and Training Material
Institution
Stanford University
Industry Partner
License
CC BY-NC-ND
Funding Source
Network Challenge Grant TAACCCT Round 3
Additional Public Access
https://github.com/reglab/redundant-encodings
Abstract
During the grant period, RegLab organized and executed a 10-week Summer Fellowship for Public Sector AI Governance (PS-AIG). Through the PS-AIG program, fellows participated in regular RegLab meetings and were embedded in RegLab research teams that provided them with the opportunity to develop hands-on experience with innovative, high impact research that directly informs federal agencies and policy-makers. A key feature of the PS-AIG program is
that fellows were treated as research partners within the lab and were provided with the intensive mentorship necessary for them to succeed in the program and in their future careers. Thirteen fellows participated in the PS-AIG program, nine of which were directly supported by grant funds. From January through May 2022, RegLab solicited and reviewed applications and selected the PS-AIG Fellows. Student interest in the program was exceptional and we were only
able to offer fellowships to about seven percent of applicants. The cohort of fellows hailed from six institutions and included five PhD students in computer science, environmental resources, statistics, political science, and public policy; four MS students in computer science, symbolic systems, public policy, and earth systems; one law student with an interest in AI audits; and two undergraduates in computer science. Most fellows began the PS-AIG program at the
beginning of June and completed the program in mid-August, but academic schedules required some fellows to begin later and the formal program ran through mid-September. RegLab continued to provide mentorship to PS-AIG Fellows throughout the duration of the grant period, especially with those fellows who co-authored publications with RegLab team members and partners that resulted from the research they participated in as PS-AIG Fellows.
Industry (NAISC)
Public Interest Technology -- Data -- Algorithms
Occupation (SOC)
Management Occupations -- Computer and Information Systems Managers (11-3021)
Instructional Program (CIP)
Computer and Information Sciences and Support Services (11)
Credit Type
Credential Type
Bachelors Degree
Educational Level
2nd Year Community College or equivalent
Upper division of Bachelors degree or equivalent
Upper division of Bachelors degree or equivalent
Skill Level
Advanced Level