Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design

Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein
3/26/2023
cs.HCcs.AI

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Abstract

AI-based decision-making tools are rapidly spreading across a range of real-world, complex domains like healthcare, criminal justice, and child welfare. A growing body of research has called for increased scrutiny around the validity of AI system designs. However, in real-world settings, it is often not possible to fully address questions around the validity of an AI tool without also considering the design of associated organizational and public policies. Yet, considerations around how an AI tool may interface with policy are often only discussed retrospectively, after the tool is designed or deployed. In this short position paper, we discuss opportunities to promote multi-stakeholder deliberations around the design of AI-based technologies and associated policies, at the earliest stages of a new project.

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@article{kawakami2023recentering,
  title  = {Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design},
  author = {Anna Kawakami and Amanda Coston and Haiyi Zhu and Hoda Heidari and Kenneth Holstein},
  year   = {2023},
  eprint = {2303.14602},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.14602v1}
}

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