Responsible AI for Public Organizations

Implementing AI Projects in Government - Resources

Printed on: 8/2/2025

Find all the resources mentioned in the online course by selecting a module from the dropdown menu below. Have questions? Contact us

Ready for a deeper dive? Take a course to

Module 2: AI foundations: Data quality

This module emphasizes the critical role of data quality in AI projects, explaining why it is especially impactful for AI systems. It defines data quality in the public sector and discusses the impact of data quality issues on AI projects. The module also explores the common causes of data quality issues in public sector organizations and provides practical steps for improving data quality for responsible and ethical AI deployment.

Learn more

Data quality characteristics

Blog: Data camp data quality dimension cheat sheet w/ examples
Blog: IBM data quality explainer

Toolkit: Data culture maturity assessment guide by Beeck center
Guidebook: DataSF Guides: How to Ensure Quality Data (gitbook.io)
InnovateUS Workshop - Empowering Data Quality: A Metrics-Based Approach for Agency Excellence

Citations

Detroit Free Press - Data glitch was apparent factor in false fraud charges against jobless claimants https://bit.ly/mi-ui-data
DM-BOK - https://bit.ly/dmbok-site
DCAM - https://bit.ly/dcam-site
GSA - https://bit.ly/coe-maturity
DataSF - https://bit.ly/datasf-dq

Module 3: AI foundations: People & talent

This module discusses the importance of understanding different types of AI organizations and their talent needs for making informed decisions about an organization's AI strategy. It explores the key competencies required for AI talent, particularly in the critical role of data scientist, and discusses the collaborative effort required from various teams. The module also presents three main avenues for developing an AI-ready workforce.

Learn more

InnovateUS workshop: Bringing AI and Tech Talent into government by of Tech Talent Project
Article: Bias and retraining interactive explainer- Datasets Have Worldviews (pair.withgoogle.com) [Archive]
Guidebook: GSA’s AI Guide for Government

Chapter 2: How to structure an organization to embrace AI https://bit.ly/gsa-ai-org
Chapter 4: Developing the AI workforce bit.ly/gsa-workforce

Blog: See this blog from Kim Hicks at DataSF to get a window of the culture differences and motivation of private sector data scientist coming to public sector
Organizations

Tech Talent Project - Tech Talent Project
US Digital Response - Talent Division

Citations

GSA AI Guide for Government - https://bit.ly/gsa-ai-org
Meritalk - OPM Reclassifies Data Scientist Criteria for Agency Hiring - https://bit.ly/opm-reclass

Module 4: Ethical risk frameworks & toolkits

This module introduces the critical importance of robust AI risk management and the role of the National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF) in ensuring responsible and safe AI deployment. It explores the seven key characteristics of trustworthy AI and the four functions outlined in the AI RMF that can help reduce risk and maximize benefits. The module also discusses the unique risks posed by Generative AI (GenAI) and provides practical next steps for implementing AI risk management in an organization.

Learn more

InnovateUS Workshop: An Ethics Ecosystem for AI and Big Data: Why? What? How? By John Basl
Workshop: ACM FAccT Conference Tutorial 2: Using the NIST AI Risk Management Framework (note: audio issue during section covering Govern function)
Interactive explainers of core AI ethics concepts

Fairness - Measuring Fairness (pair.withgoogle.com)
Bias - Datasets Have Worldviews (pair.withgoogle.com)
Hidden Bias - Hidden Bias (pair.withgoogle.com)
Diversity - Measuring Diversity (pair.withgoogle.com)

AI Ethics toolkits with government focus

Government specific AI project team toolkits https://ethicstoolkit.ai
Governance maturity assessment toolkits

State Data maturity framework - Beeck Center - https://bit.ly/beeck-data
Governance committee formation toolkit -Ethics Institute at Northeastern University - https://bit.ly/ethic-committee

Organizations

National Institute of Standards and Technology (NIST) - https://www.nist.gov/about-nist

Citations

NIST AI RMF https://bit.ly/nist-ai-rmf
NIST AI RMF Playbook https://bit.ly/ai-rmf-playbook
NIST GenAI Profile https://bit.ly/nist-genai
Techbetter - Evaluating AIGovernance Insights from Public Disclosures - https://bit.ly/techbetter-study
About NIST - https://www.nist.gov/about-nist
Reuters - Insight - Amazon scraps secret AI recruiting tool that showed bias against women - https://reut.rs/4aKpnNu
NPR - An eating disorders chatbot offered dieting advice, raising fears about AI in health - https://n.pr/4bJcMvo
NYTimes - Microsoft Created a Twitter Bot to Learn From Users. It Quickly Became a Racist Jerk - https://nyti.ms/3yBABXl
Techcrunch - Blackbox welfare fraud detection system breaches human rights, Dutch court rules - https://tcrn.ch/3KmZGbn
Guardian - Royal Free breached UK data law in 1.6m patient deal with Google's DeepMind - https://bit.ly/guardian-deepmind
Science - Dissecting racial bias in an algorithm used to manage the health of populations - https://bit.ly/science-health-algo
Nextgov - NIST delivers draft AI guidance, generative AI pilot program - https://bit.ly/nextgov-nist-genai
Nextgov - NIST’s new AI safety institute to focus on synthetic content, international outreach - https://bit.ly/nextgov-aisi