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The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals
16 references·2 citing·44 second hop
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References

  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
  • 2019Model Cards for Model Reporting2,653 cited
  • 2018Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making491 cited
  • 2020Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI435 cited
  • 2021Where Responsible AI meets Reality329 cited
  • 2023Torn Apart: How the Child Welfare System Destroys Black Families—and How Abolition Can Build a Safer World305 cited
  • 2019Problem Formulation and Fairness283 cited
  • 2022The flaws of policies requiring human oversight of government algorithms258 cited
  • 2022The Fallacy of AI Functionality251 cited
  • 2012Values Levers239 cited
  • 2018A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions230 cited
  • 2022Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI228 cited
  • 2012Supporting reflective public thought with considerit226 cited
  • 2019Toward Algorithmic Accountability in Public Services205 cited
  • 2022Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support

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142 cited
  • 2021Algorithms and Decision-Making in the Public Sector118 cited
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    • 2024Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use24 cited
    • 2025The ``Who", ``What", and ``How" of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools20 cited