The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals
CoRR(2024)
摘要
Public sector agencies are rapidly deploying AI systems to augment or
automate critical decisions in real-world contexts like child welfare, criminal
justice, and public health. A growing body of work documents how these AI
systems often fail to improve services in practice. These failures can often be
traced to decisions made during the early stages of AI ideation and design,
such as problem formulation. However, today, we lack systematic processes to
support effective, early-stage decision-making about whether and under what
conditions to move forward with a proposed AI project. To understand how to
scaffold such processes in real-world settings, we worked with public sector
agency leaders, AI developers, frontline workers, and community advocates
across four public sector agencies and three community advocacy groups in the
United States. Through an iterative co-design process, we created the Situate
AI Guidebook: a structured process centered around a set of deliberation
questions to scaffold conversations around (1) goals and intended use or a
proposed AI system, (2) societal and legal considerations, (3) data and
modeling constraints, and (4) organizational governance factors. We discuss how
the guidebook's design is informed by participants' challenges, needs, and
desires for improved deliberation processes. We further elaborate on
implications for designing responsible AI toolkits in collaboration with public
sector agency stakeholders and opportunities for future work to expand upon the
guidebook. This design approach can be more broadly adopted to support the
co-creation of responsible AI toolkits that scaffold key decision-making
processes surrounding the use of AI in the public sector and beyond.
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