{"paper":{"title":"Bridging Predictions and Interventions: An Integrated Framework for Automated Decision-Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Amanda Coston, Angela Zhou, Angelina Wang, Ashia Wilson, Avi Feller, Ben Laufer, Berk Ustun, Bryan Wilder, Daniel Ho, Daniel Malinsky, Eli Ben-Michael, Ezinne Nwankwo, Hammaad Adam, Inioluwa Deborah Raji, Jessica Hullman, Joshua Loftus, Juan Carlos Perdomo, Kosuke Imai, Lily Hu, Luke Guerdan, Lydia T. Liu, Mark Sendak, Matthew Salganik, Michael Zanger-Tishler, Razieh Nabi, Sayash Kapoor, Shion Guha, Simone Zhang, Suresh Venkatasubramanian, Talia Gillis","submitted_at":"2026-06-24T10:29:10Z","abstract_excerpt":"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 "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25668","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.25668/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}