mlsanityData to 7 Oct 2026

Algorithms and Decision-Making in the Public Sector

arXiv 2106.03673 ↗First posted 7 Jun 2021cs.CYcited by 20

Not on the map. Why?

Abstract (arXiv)

This article surveys the use of algorithmic systems to support decision-making in the public sector. Governments adopt, procure, and use algorithmic systems to support their functions within several contexts -- including criminal justice, education, and benefits provision -- with important consequences for accountability, privacy, social inequity, and public participation in decision-making. We explore the social implications of municipal algorithmic systems across a variety of stages, including problem formulation, technology acquisition, deployment, and evaluation. We highlight several open questions that require further empirical research.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jun 2021.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 3; 2023: 3; 2024: 7; 2025: 4; 2026: 2.

20 papers.

Sort:

By area:

  1. 2022Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Supportcited by 37
  2. 2023Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Servicescited by 29
  3. 2022Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservablescited by 19
  4. 2022Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Reportcited by 14
  5. 2025On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignmentcited by 12
  6. 2024Allocation Requires Prediction Only if Inequality Is Lowcited by 8
  7. 2023Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledgecited by 6
  8. 2024"This is not a data problem": Algorithms and Power in Public Higher Education in Canadacited by 6
  9. 2024Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Usecited by 6
  10. 2024The Impact of Differential Feature Under-reporting on Algorithmic Fairnesscited by 4
  11. 2024Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakerscited by 3
  12. 2024Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needscited by 3
8 more
  1. 2025The Algorithmic State Architecture (ASA): An Integrated Framework for AI-Enabled Governmentcited by 3
  2. 2021Governance and Communication of Algorithmic Decision Making: A Case Study on Public Sectorcited by 1
  3. 2025The Hidden Cost of Waiting for Accurate Predictionscited by 1
  4. 2025One Bad NOFO? AI Governance in Federal Grantmakingcited by 1
  5. 2023Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Designcited by 0
  6. 2024FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definitioncited by 0
  7. 2026Stability of AI Governance Systems: A Coupled Dynamics Model of Public Trust and Social Disruptionscited by 0
  8. 2026Hide&Seek: Learning to Explain in an End-to-End Differentiable Networkcited by 0