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2,395 papers
The results identify user evaluability as a planning-relevant dimension of AI assistance, complementary to generation quality and preference inference, complementary to generation quality and preference inference.
Abstract Here is a very popular view on what user rational trust in AI requires: the Explanation View of AI Trust, whereby user rational trust in AI requires an explanation of why the AI has reached the conclusion it has. The authors of this chapter think that the Explanation View of AI Trust is wrong. It is not true o...
Abstract: Digital transformation has emerged as an important strategy for financial institutions to enhance operational efficiency and enhance customer experience in the digital business environment. This study aims to examine the relationships of Electronic Customer Relationship Management (E-CRM), Artificial Intellig...
Abstract. As enterprise AI moves from answering questions to taking actions, the question of human oversight sharpens. Regulation for higher-risk uses requires that systems be overseen by people who can understand, intervene in and if necessary halt them. In deployed practice this duty is often satisfied by assertion:...
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This chapter develops a human-centered, leadership-driven framework explaining how education contributes to sustainability in AI-augmented societies. It addresses three research questions on leadership as a driver of sustainability, its mechanisms of influence, and its role in employability, inclusion, and resilience....
Generative Artificial Intelligence (GenAI) is becoming an integral part of travel planning. This fundamental transformation is changing the definition of travel decision delegation, calling for fresh research into responsible AI in tourism. Drawing on agency theory, trust theory and decision delegation framework, this...
Abstract Current research on explainable and white-box artificial intelligence faces prominent issues: conceptual disarray, divergent perspectives, and a disconnect between theory and practice. The foremost priority is therefore to return to the field’s purest objectives and explore its most fundamental questions. To t...
Artificial intelligence is increasingly performing administrative, analytical, coordinating, monitoring, communication, and decision-support functions historically associated with managers and business administration. This transformation does not imply the disappearance of organizations, management, managers, or busine...
An assurance-specific framework answering three questions: for which sustainability-assurance procedures AI creates analytical value, which risks arise when AI influences assurance work, and which decision rights and controls should govern that influence is developed.
Artificial intelligence changes what organizations can do; human leadership must decide what should be done, what remains accountable, and what must never be surrendered to machines. This working paper presents FILE: The Five Intelligences of Leadership Evolution as a human-centered management theory and diagnostic fra...
The rapid integration of Artificial Intelligence (AI) into healthcare software introduces profound complexities when combined with Agile Software Development (ASD) and User-Centered Design (UCD). Instead of a cohesive triad, this landscape exhibits partial intersections and fragmented literature. This Systematic Litera...
Analysis code, derived result tables, figures and validation-cohort inputs for a study of non-extensive (Tsallis) statistics in the glioblastoma transcriptome. Expression deviations of each sample are fitted with q-Gaussian laws by maximum likelihood. In a longitudinal GLASS cohort (230 libraries from 115 IDH-wildtype...
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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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