#decision-systems News & Analysis

4 articles tagged with #decision-systems. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles

AINeutralarXiv – CS AI · May 127/10

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The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory

Researchers identify a critical vulnerability in agentic memory systems where Large Language Models retrieve and amplify spurious correlations from stored information, leading to erroneous reasoning in downstream decisions. The study benchmarks this risk and proposes CAMEL, a lightweight calibration method that mitigates spurious pattern reliance while maintaining performance on clean data.

AIBullisharXiv – CS AI · Apr 147/10

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Governed Reasoning for Institutional AI

Researchers propose Cognitive Core, a governed AI architecture designed for high-stakes institutional decisions that achieves 91% accuracy on prior authorization appeals while eliminating silent errors—a critical failure mode where AI systems make incorrect determinations without human review. The framework introduces 'governability' as a primary evaluation metric alongside accuracy, demonstrating that institutional AI requires fundamentally different design principles than general-purpose agents.

AINeutralarXiv – CS AI · 6h ago6/10

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Repair Before Veto: Repair-Augmented Constraint Learning for Contextual Decisions

Researchers introduce Repair-Augmented Constraint Learning (RACL), a machine learning framework that decides whether to repair constraint violations before rejecting candidates, rather than applying hard vetoes immediately. The method achieves significantly lower false-veto rates (0.25%) compared to baseline approaches (26.4%) on real-world airline data, with applications to automated decision systems.

AINeutralarXiv – CS AI · 6h ago6/10

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Bridging the Last Mile of Time Series Forecasting with LLM Agents

Researchers present an LLM-agent framework that enhances time series forecasting by incorporating business context and expert judgment into statistical predictions. The system bridges the gap between raw forecasts and decision-ready outputs through structured reasoning, contextual evidence retrieval, and auditable revision mechanisms.