Responsible AI for Public Sector Legal Professionals

Designing AI Policy, Projects, and Societal Impact - Resources

Printed on: 10/10/2026

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

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Module 2: Overcoming risks: Data governance

Discusses best practices for data segregation and the use of “walled gardens.” Discusses the Criminal Justice Information Security (CJIS) standard and how to ensure compliance. Distinguishes between tasks that require paid AI tools versus those that can be handled by free tools and how to evaluate AI vendors.

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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

Module 3: Designing your own projects: From concept to creation

Guides learners through the process of identifying problems within their own work that AI tools can help to solve. Explains how to take these solutions from idea to implementation, covering the process of developing and implementing AI-enabled tools. Profiles several existing AI tools built by public sector legal offices.

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Problem Definition

InnovateUS Course: Innovation Skills Accelerator - Module 2 Introduction to Problem Definition
InnovateUS Course: Human Centered Design - Module 3 Define

Surfacing and selecting projects - Common problem type or ‘typology’

Blog series from DataSF on how they run their DataScienceSF program (Part 1, Part 2, Part 3, Part 4) [Archive]
Blog by Nolaytics on their problem typology (blog) [Archive]
InnovateUS Workshop: Delivering Data Scient Projects in Government by Joy Bonaguro (video link)

Surfacing and selecting projects - Bottom up experimentation and crowd sourcing

InnovateUS Course: Innovation Skills Accelerator - Module 6 Collective Intelligence: co-creation, collaboration, and crowdsourcing

Surfacing and selecting projects - Fast field scanning

InnovateUS Course: What Works: Fast Field Scanning

Lists of government use cases

HHS AI use cases [Archive]
DOL AI use cases [Archive]
Commerce AI use cases [Archive]
DataSF DataScienceSF Showcase [Archive]

Pilots

InnovateUS Workshop: Effective Measurement and Pilots by Carin Clary & Kate Lawyer

Module 4: Societal challenges

Explores the ethical implications of employing GenAI at a societal level and dissects potential challenges like copyright infringement, deepfakes, astroturfing, issues related to private platforms, and the challenge of developing effective and proactive AI regulation. Additionally, this module delves into ongoing efforts aimed at mitigating these risks.

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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 5: Writing your own AI governance and use policy

Guides legal professionals on how to develop and implement an AI acceptable use policy for their office in line with best practices for data governance when using AI tools.

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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