It is found that trust exhibited a non-linear association with AI autonomy, with higher observed trust at intermediate than at maximal levels of delegation; turning regions varied by decision context and should not be interpreted as universal autonomy thresholds.
Elizabeth I. Igbodor, I. Mordi, Ngozi B. Umoru et al.· Human-Intelligent Systems In...· 0 citations
This report presents the results of the DigiSET teacher survey conducted in Austria, as part of the Erasmus+ project “DigiSET – The Academy of Digitally Sustainable European Teacher” (101249272). The survey aimed to assess (future) teachers' self-perceived competences in digital teaching, artificial intelligence (AI),...
Sandra Schön, Benedikt Brünner, Martin Ebner et al.· TUGraz OPEN Library (Graz Un...· 0 citations
The study demonstrates how MHC can be translated from an ethical principle into governance practice and shows that meaningful control depends not only on human involvement in decisions, but also on defined purposes and boundaries, operational procedures for review and correction, legal safeguards, and institutional cap...
Tak-Ming Yu, Xia Zheng, Hoi-Kuen Ng· AI and Ethics· 0 citations
An Operational Atlas of Cognitive Maneuvers / Atlas Operativo de las Maniobras del Desvío Adaptive Interference Theory / Teoría de la Interferencia Adaptativa ABSTRACT The Theory of Adaptive Interference (TIA) proposes that cognitive systems—human and algorithmic—can reorganize their responses under dialectical pressur...
Teodoro Escaño· Zenodo (CERN European Organi...· 0 citations
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The proposed framework treats AI governance as a strategic capacity of an organization, with accountability, transparency, explainability, human oversight and risk management integrated into the AI lifecycle, ensuring responsible innovation, continuous regulatory compliance and sustainable value creation for the organi...
Anilreddy , Thu Phuong Bhimavarapu , Vu· Journal of Business Practice...· 0 citations
Tuberculosis (TB) remains a major global health challenge, particularly in resource-constrained settings where timely access to expert radiological interpretation is limited. Although artificial intelligence (AI)-based chest X-ray (CXR) screening systems have demonstrated promising diagnostic performance, limited expla...
Furaha Marwa· Zenodo (CERN European Organi...· 0 citations
This paper aims to provide a foundational resource to guide future research on reliable, explainable, and practical IoT intrusion detection systems by identifying the problems addressed in current research and highlighting the limitations in the literature.
Murat Varol, Aykut Karakaya· Italian National Conference...· 0 citations
Description This repository contains the complete, reproducible PyTorch source code for the study "Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization". The codebase implements an end-to-end deep learning framework designed to eliminate...
Yunus Emre Kıymaz, Şakir Taşdemir, Burak Gezer et al.· Zenodo (CERN European Organi...· 0 citations
Slides from an invited talk given at the international conference "The Labyrinth of (Social) Rights: Linguistic, Systematic and Other Barriers to Access to Legal Protection" (ARIS project J5-50169), Faculty of Law, University of Ljubljana, 11 September 2026, panel 2 "AI and Legal Text Understanding". No conference proc...
Andrej Seršen· Zenodo (CERN European Organi...· 0 citations
Uri Benoliel demonstrates how AI and big data standards can assess whether disclosures genuinely help prospective franchisees understand key risks, and proposes a forward-looking framework that integrates technology into disclosure design, offering more reliable and scalable methods for regulatory oversight.
Uri Benoliel· Cambridge University Press e...· 0 citations
Slides from an invited talk given at the international conference "The Labyrinth of (Social) Rights: Linguistic, Systematic and Other Barriers to Access to Legal Protection" (ARIS project J5-50169), Faculty of Law, University of Ljubljana, 11 September 2026, panel 2 "AI and Legal Text Understanding". No conference proc...
Andrej Seršen· Zenodo (CERN European Organi...· 0 citations
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
MIT News · Artificial Intelligence· news.mit.eduOct 30, 2026
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
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