InureFusionNet is proposed, a hybrid explainable structured ensemble framework integrating heterogeneous models of deep feature learning, uncertainty-aware prediction, interpretable boosting mechanisms, and high-performance gradient- boosting classifiers through a fusion strategy for robust health insurance claim appro...
Indirakumar Rajendiran, Sam Cherub Hameem Pillay· International Journal of Com...· 0 citations
The findings reveal that service quality positively affected AI source credibility, brand trust, and purchase intention, and suggest that trust in AI systems can be transferred to brand trust.
Nameun Kim, Hyojin Jo· Journal of the Korean Societ...· 0 citations
CRAFT, which stands for Cold-start Reasoning Alignment Alignment via Fine-Tuning, is proposed, a data-centric method to autonomously generate a verified dataset of (input, trace, label) triplets, requiring substantially less compute and wall-clock time than GRPO-based methods.
Evaluation on the German Credit dataset shows that harm associated with specific causal pathways can be substantially understated by associational fairness metrics, and a proof-of-concept implementation demonstrates operationally plausible throughput and highlights relevant performance tradeoffs.
Sama L. Kareem, B. Celiktas· 0 citations
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The manual labor trap is introduced as an empirically grounded concept that explains why monitoring CSOs tend to remain locked into labor-intensive, low-capacity arrangements.
Elisabeth Steffen, Helena Mihaljevic· Proceedings of the ACM on Hu...· 0 citations
A design-science framework for institutional legacy: the durable capacity of a decision system to continue producing beneficial, lawful, explainable, and adaptable outcomes after its original designers have stepped away is developed.
This paper claims that an in-depth investigation of the adversarial robustness of NeSy models is necessary and provides the first systematic evaluation of backdoor attacks against NeSy, and shows that while NeSy models are indeed more robust than their neural counterpart on average, their robustness vastly depend on th...
Marco Antonio Corallo, Andrea Agiollo, Mauro Conti et al.· 0 citations
Experiments on ModelNet40 point clouds, arbitrary-view projections, and segmented optical observations demonstrate that NeuSOGA transforms diverse observations into compact symbolic representations while preserving essential geometric and topological structure across sensing modalities and viewing directions.
Qingde Li, Qingqi Hong, Zi-Han Li et al.· 0 citations
It is found that an organization's choices on measurement models for feature and labels, business requirements, model validation, and the metric of model success have as much or more impact on the generated counterfactuals as the specifics of the generating method.
Mattia Cerrato, Otto Sahlgren, Xenia Heilmann· 0 citations
This work instantiates science sandboxes, a framework for studying this capability in AI agents through repeated cycles of experimentation, feedback, and hypothesis revision, in two biological settings, models of regulatory genomics and protein fitness prediction, and examines the capabilities of frontier agents.
Arya S. Rao, Rodrigo I. Castro, Sager J. Gosai et al.· 1 citation
While multi-agent LLM pipelines show real promise for legacy code specifically, since their capacity for autonomous context reconstruction and iterative, feedback-driven refinement directly addresses the sparse documentation and thin test coverage that define legacy environments, the literature to date has been validat...
Harsh Verma· International Journal of Sci...· 0 citations
The findings suggest that AI-powered anomaly detection significantly strengthens observability and security in cloud-based applications, enabling proactive threat mitigation and operational optimization in increasingly complex distributed environments.
Harsh Verma· International Journal of Sci...· 1 citation
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
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