PA 470 – Artificial Intelligence and Machine Learning in the Public Sector
Public sector applications of artificial intelligence and machine learning. Philosophical foundations of artificial intelligence and major frameworks for learning.
Artificial intelligence (AI) and machine learning (ML) have transformed the private sector pressuring the public sector to follow suit and become smart by adopting AI/ML. Yet, public sector applications differ greatly from private sector ones where issues like data availability and equity can be easily sidestepped. Key assumptions of AI/ML models often conflict with traditional principles of government like transparency, accountability, universality, and equality/equity.
In this course, we will explore critical issues with AI/ML in the public sector and learn simple applications in R and tidymodels
to provide public sector technologists with adequate tools to navigate AI/ML in government.
Assignments and readings should be completed before the week listed, unless otherwise noted.
Week 1, 1/12
Introductions, Course Technology Stack, and Review
- Can a Machine Learn Morality?
- Ask Delphi
- Crime Prediction Software Promised to Be Free of Biases. New Data Shows It Perpetuates Them
- Crime Prediction Keeps Society Stuck in the Past
- Chapter 6, Data Science for Public Policy (DSPP)
Assignment: Coding Warmup 0
Week 2, 1/19 (online)
Review, Conceptual Foundations, and Geospatial
- tidymodels, Chapters 1-2
- Chapter 12, DSPP
- sf
- tidycensus
- Urban Institute Guide
- Racism In, Racism Out
Assignment: Coding Warmup 1
Week 3, 1/26 (online)
Coding 1
- tidymodels, Chapters 3-4
- Chapter 7 & Sections 8.1/8.2, DSPP
Assignment: Coding Warmup 2
Week 4, 2/2 (online)
- Chapter 8, DSPP (continued)
- tidymodels, Chapters 5-6 Fitting/Linear
Public Sector Case Studies
- A Catalog of Civic Data Use Cases
- New York City Artifical Intelligence Strategy
- Secretary Antony J. Blinken at the National Security Commission on Artificial Intelligence’s (NSCAI) Global Emerging Technology Summit
- Cook County Assessor Residential Valuation Model
- Summary of Agency Compliance Reporting, NYC Algorithms
- Preparing for the Future of Artifical Intelligence
- Data Driven Information and the brave new world of smart firefighting
Assignment: Reading Response 1, Case Study
Assignment: Coding Warmup 3
Week 6, 2/16 (online)
- Chapter 9, DSPP
- tidymodels, Chapter 9 Effectiveness
Ethics: Government’s Black Box
- A City Is a City — Against the metaphorization of data
- ai.gov
- Crafting an AI strategy for government leaders
- Using AI and machine learning to reduce government fraud
- Fragile Algorithms and Fallible DecisionMakers: Lessons from the Justice System
- REPORT: How to make AI work in government and for people, Case Studies
Assignment: Response 2, Relationships
Assignment: Coding Warmup 4
Week 7, 2/23
Coding 3
Week 8, 3/2
Coding 4
- Sections 10.5-10.6, DSPP
- tidymodels, Chapter 10-11 Resampling
Assignment: Detroit Part 2
Week 9, 3/9
Ethical Critiques
- Chapter 14, DSPP
Read 4
- It’s COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks
- Excavating AI
- Assembling Accountability
- To Live in Their Utopia: Why Algorithmic Systems Create Absurd Outcomes
- Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
- Algorithmic Risk Assessments Can Alter Human Decision-Making Processes in High-Stakes Government Contexts
Introduce Assignment: Final Project Proposal, Due 4/4
Assignment: Reading Response 3, Ideals
Week 10, 3/16
Coding 4
- Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy
- tidymodels, Tuning Chapter 12-15
Assignment: Detroit Part 3
Week 11, 3/23
Spring Vacation No Class
Week 12, 3/30
Guest Speaker, public sector careers
Week 13, 4/6
Detroit Presentations
Assignment: Final Project Proposal, Due 4/4
Assignment: Detroit Final Submission & Presentation
Week 15, 4/20
Guest Speaker
Public Sector Implementation
- A New Executive Order Ties Equity in AI to a Broader Civil Rights Agenda
- Implementation Challenges to Three Pillars of America’s AI Strategy
- From Algorithmic Audits to Actual Accountability: Overcoming Practical Roadblocks on the Path to Meaningful Audit Interventions for AI Governance
- Ch 5 Weapons of Math Destruction, on Blackboard
- Chapter 15, DSPP