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2,392 papers
The increasing sophistication of cyber threats demands more effective and reliable detection systems. However, many current Artificial Intelligence (AI)-based cybersecurity solutions operate as "black boxes," lacking transparency and hindering trust. This research addresses this critical gap by integrating Explainable...
Abstract Whether the spatial geometry implied by a quantum state can be recovered from its entanglement structure is a central question in the "space from Hilbert space" program. We study the sharpest tractable version of this question: can equal-time mutual information (MI) detect metric inhomogeneity, as opposed to t...
Quantitative evaluation using TMAI and complementary XAI methods provides additional evidence that the model's predictions are grounded in clinically relevant lesion regions rather than background artefacts, supporting the potential of the framework for accurate and interpretable automated skin lesion classification.
PA was associated with lower risk and more favorable transition patterns, although transitions to less impaired states should not be interpreted as definitive functional recovery, and Multistate Markov analyses suggested dynamic cognitive-physical state transitions.
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The study concluded that Artificial Intelligence adoption significantly enhanced decision-making effectiveness in the public sector and recommended increased investment in AI technologies, digital infrastructure, employee training, and responsible AI governance, while maintaining appropriate human oversight.
Zenodo DOI: https://doi.org/10.5281/zenodo.21137999 DSLO Human Container — Public‑Safe Semantic Substrate (v0.5) DSLO Human Container is the public‑safe semantic substrate for understanding how humans maintain coherence, identity, and stability under modern digital conditions. It formalizes the Human Invariants — Bound...
This repository contains the data and analysis code for a random-effects meta-analysisof the effect of transparency/explainability interventions on worker outcomes (perceivedfairness, trust, autonomy, performance) in algorithmic digital labor, submitted to PeerJComputer Science. Effect sizes (Hedges' g) and moderator c...
The increase in the number and complexity of interconnected systems requires new methods to identify potential threats in today’s hyperconnected world. This trend affects systems ranging from smart homes and Internet of Things (IoT) devices to critical infrastructure which must be equipped with the corresponding cyber...
Early retrospective studies show promising discrimination for AI-based GC prediction; however, evidence remains insufficient for routine clinical decision-making due to methodological heterogeneity, limited external validation, absence of prospective impact studies, and lack of calibration and clinical utility analyses...
Background Teaching Turkish to A1–A2 learners relies heavily on word selection and multimodal presentation. While traditional curricula prioritize frequency-based lists, they often underestimate the visual-semantic dimension critical for novice learners. Computational tools such as Word2Vec and CLIP offer a data-driven...
The study proposes the Sociotechnical Explainability Alignment (SEA) framework, which conceptualizes ethical XAI as requiring alignment across four levels: design, user, team, and organization.
The increasing deployment of complex AI models, particularly deep neural networks, raises significant concerns about their interpretability and trustworthiness. Existing XAI techniques often provide post-hoc explanations that lack a clear connection to the model's underlying reasoning. This paper proposes a novel appro...
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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.
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.
Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.
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.
GPT-Lab
· gpt-lab.eu
Oct 12, 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 AI Has Grown Up. Have We? appeared first on GPT-Lab.
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