Bridging Predictions and Interventions: An Integrated Framework for Automated Decision-Systems

• URL: http://arxiv.org/abs/2606.25668v1
• Date: Wed, 24 Jun 2026 10:29:10 GMT
• Title: Bridging Predictions and Interventions: An Integrated Framework for Automated Decision-Systems
• Abstract summary: This Perspective develops an integrated framework for studying automated decision systems (ADS) in social systems.<n>Our aim is to improve our understanding of ADS and more meaningfully anticipate its downstream societal and organizational consequences.
• Score: 44.41008845972734
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Automated decision systems (ADS) leverage predictions about individual future outcomes to inform consequential decision-making in organizational settings. Across various settings - including criminal pretrial release, clinical triage, student support, and more - it is often assumed that improved predictive accuracy is the priority consideration in determining better downstream outcomes upon the deployment of ADS. In practice, real-world case studies reveal that this is far from the case: introducing individual predictions into decision-making modifies organizational workflows, assessment, and decision-making processes in ways that require a complete re-consideration of our approach to the design, evaluation, and deployment of ADS. As a result, this Perspective develops an integrated framework for studying ADS in social systems, shifting current priorities from a purely prediction-based paradigm towards an intervention-oriented view that accounts for real-world conditions. Our aim is to improve our understanding of ADS and more meaningfully anticipate its downstream societal and organizational consequences.

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