AI RESEARCH
Deployment of AI-Assisted Interventions: Capacity Constraints and Noisy Compliance
arXiv CS.LG
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ArXi:2604.14370v1 Announce Type: cross AI tools increasingly guide targeted interventions in healthcare, education, and recruiting. Algorithms score individuals, trigger outreach to those above a threshold (e.g., high-risk or high-value), and encourage them to request service; then providers deliver service to those who request. Standard practice sets the threshold and selects the algorithm to maximize predictive accuracy, assuming that better predictions yield better outcomes.