GEOU Embedding Ethics for Career Training in the Governance of AI
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Keywords
public interest technology,
AI,
Artificial Intelligence,
Bias-discrimination,
National Security,
Surveillance,
Experiential Learning,
Fellowship,
PIT,
government technology,
technology government,
workshop,
data & analytics, Career Pathways and Pipelines,
Project
Authors
Little, Margaret
Matheny, Jason
Date Submitted
12/30/20
Material Type
Model
Secondary Material Type
Institution
Georgetown University
Industry Partner
License
CC BY-NC-SA
Funding Source
Network Challenge Grant TAACCCT Round 1
Additional Public Access
https://ethicslab.georgetown.edu/blog/ethics-lab-and-cset-conclude-ethics-of-ai-for-policymakers-series-with-workshop-on-global-surveillance-amp-human-rights
https://ethicslab.georgetown.edu/blog/ethics-lab-kicks-off-ethics-in-ai-workshops
https://ethicslab.georgetown.edu/blog/ethics-lab-kicks-off-ethics-in-ai-workshops
Abstract
This project pilots innovative, replicable workshops on AI & Ethics for 3 nationally recognized D.C. fellowship programs that provide training and work placements for government careers in technology policy.
The project was aimed at early-career fellowships that recruit and support technologists
and policy analysts toward careers in government. We invited a cohort of approximately 35
fellows from CSET (~20 fellows/analysts), TechCongress (~8 fellows), and the American
Association for the Advancement of Science (AAAS) (~10 fellows). After we transitioned to
a fully virtual mode in 2020 due to the COVID-19 pandemic, we also invited students from
Georgetown Law Center’s new Master of Law & Technology graduate program to
participate. Our project goal was to help participants deepen their awareness of ethical
complexities relating to AI technologies while forming new professional and personal
connections across programs.
Industry (NAISC)
Public Interest Technology -- Data -- Algorithms
Occupation (SOC)
Computer and Mathematical Occupations -- Computer and Information Scientists, Research (15-1011)
Instructional Program (CIP)
Computer and Information Sciences and Support Services (11)
Credit Type
Credential Type
Bachelors Degree
Other
Other
Educational Level
Upper division of Bachelors degree or equivalent
Skill Level
Advanced Level