Roadmap
FairGov Learning Path
My exploration of how AI can be used to make government more fair, transparent, and effective.
| Order | Field | Learn About (Concepts) | Learn By Doing (Hands-on Projects) | Best Free Resources |
|---|---|---|---|---|
| 1 | AI in Government Basics | Current uses of AI in the public sector and opportunities for efficiency and fairness | Review real government AI case studies | OECD – AI in the Public Sector GAO – IRS AI Report (March 2026) |
| 2 | Transparency & Accountability | Using AI to improve public records, audit decisions, and reduce corruption | Analyze public budget or FOIA data with simple tools | GAO – OMB AI Privacy Guidance (March 2026) |
| 3 | Fair Resource Allocation | AI for equitable distribution of public resources, infrastructure, and services | Build simple models to simulate fair allocation | RAND AI Policy Simulations |
| 4 | Bias Detection in Government Systems | Detecting and mitigating bias in algorithms used for benefits, policing, and hiring | Audit public datasets for bias using basic tools | AI Bias: Examples and 6 Ways to Fix It (2026) |
| 5 | Policy Simulation & Forecasting | Using AI to model long-term effects of policy decisions | Run basic policy simulations with public data | Brookings Institution – AI Policy |
| 6 | Citizen Feedback & Participation | AI tools for processing public comments, petitions, and surveys at scale | Analyze public comment datasets with simple sentiment tools | How AI Is Changing Public Comment Analysis (2026) |
| 7 | Risks & Governance of AI in Government | Privacy, accountability, over-reliance on AI, regulatory frameworks | Review real-world government AI failures and lessons | GAO – Generative AI’s Environmental and Human Effects (2025) |
Disclaimer: This learning path links to third-party websites and free resources. I do not own or control these external sites. Content and availability may change over time. Use at your own risk.