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2,590 papers
AIPR governance is reframe around making human judgment observable before generated contributions consume scarce reviewer attention, and conceptualize missing rationale, validation, and ownership as reviewability debt, the work reviewers must absorb when generated code lacks sufficient human grounding.
Understanding how deep neural networks process information remains a central challenge. Existing interpretability methods often compromise structural fidelity, rely on prespecified corpora, or explain models post-hoc. We propose Polytopal Neural Networks (PNNs), a framework that extracts distinct layer-wise aspects by...
Researchers increasingly use ChatGPT to revise their papers, and recent GPT versions often narrow or even retract the authors'claims. We call such changes defensive writing when the given material does not support them, and we test two explanations: the model corrects the authors'overclaiming, or it writes for an antic...
Due to their impact on emotional health, mental functioning, productivity and quality of life, depression and mental fatigue have become public health problems.Early diagnosis and early intervention are important to the successful treatment of these conditions.Thanks to the recent developments in Artificial Intelligenc...
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Generative search shifts information evaluation from comparing ranked documents to assessing synthesised answers. This study examines how users’ perceptions of answer quality are associated with trust and credibility in Google AI Overviews and explores whether visible interface cues may foster trust without systematic...
Expansive soil prediction involves more than estimating a swelling index from classification properties. Engineering decisions depend on path-dependent deformation, evolving water retention, restraint, fabric change and uncertain environmental forcing. Physics-informed and explainable machine learning offer complementa...
Digital transformation has accelerated the integration of artificial intelligence (AI) with Business Intelligence (BI) to support faster, more accurate, and data-driven managerial decision-making. This study examines the effects of Prediction Accuracy, Response Speed, Transparency, and Explainability on Managerial Deci...
Digital hiring platforms make applicant sourcing fast and scalable, but they also give bad actors an easy way to distribute fraudulent job postings. Detecting Online Recruitment Fraud (ORF) automatically remains difficult because scam texts mimic authentic corporate ads, and natural datasets suffer from severe class sk...
Loneliness is one of the strongest predictors of attrition and underperformance among international students, yet most arrive without a strategy for building the support systems that would prevent it. This chapter argues that durable social networks abroad have to be designed rather than stumbled into. The chapter pair...
As artificial intelligence transitions into mission-critical and highly regulated domains, the limitations of monolithic, scale-driven deep learning models-particularly regarding computational unsustainability, brittle robustness, and a lack of logical explainability-have become increasingly apparent.This review provid...
The sudden adoption of artificial intelligence (AI) in modern healthcare systems has created radical possibilities in clinical decision support, diagnostics, and patient management. However, these technological innovations are closely related to serious problems pertaining to algorithmic bias that can trigger the occur...
Precision radiotherapy is becoming increasingly complex, requiring integration of multimodal imaging, treatment planning, adaptive radiotherapy, and diverse clinical data. This paper proposes agentic AI as a responsible clinical decision-support framework in which multiple specialized AI agents collaborate across imagi...
General Science
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
A Blog post by Swiss AI Initiative on Hugging Face
In a new book, Professor Eric So explores how the technology affects our thinking skills.
Earth AI
GPT-Lab
· gpt-lab.eu
Oct 14, 2026
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.
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