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explainable ai

2,646 papers

#explainable ai Review Open access Oct 2026

Machine Learning in Hand Pathology Diagnosis: A Narrative Review of Current Insights.

Machine learning (ML), a subset of artificial intelligence (AI), is revolutionizing health care. Given the intricate anatomy and functional complexity of the hand, AI applications in hand pathology are gaining prominence, particularly in the diagnosis of fractures, nerve injuries, and musculoskeletal disorders. This re...

Bryan Lim, I. Seth, Richard J. Ross et al. · 0 citations
#explainable ai Open access Oct 2026

Two further towers of congruences: the Genocchi numbers with a factor p, and the denominators of the Bernoulli numbers

Let G_m be the Genocchi numbers, G_m = 2(1 − 2^m) B_m, and p an odd prime. We prove that G_(2np^k) ≡ p · G_(2np^(k−1)) (mod p^(2k + 2 v_p(n))) for all n, k ≥ 1, and that this exponent is attained in most cases (552 of the 564 cases with p ≤ 59, k ≤ 3, 2np^k ≤ 800). The congruence is a direct consequence of the Kummer c...

Roberto Blanco Gómez · 0 citations
#explainable ai Open access Oct 2026

Trust Rhythm in Human and AI Collaboration for Digital Marketing in Nonprofit and Service Organizations

This paper builds a conceptual model that explains how artificial intelligence changes the temporal structure of trust in a brand and defines the threshold beyond which automation erodes trust instead of supporting it. The study applies framework synthesis to peer-reviewed literature published from 2018 onward, supplem...

Alina Anatolyevna Demydova · 0 citations
#explainable ai Review Open access Oct 2026

Geological Reliability in Deep Learning Mineral Prospectivity Mapping: A Review

Artificial intelligence (AI)-based mineral prospectivity mapping (MPM) has rapidly advanced through the integration of deep learning, multisource geoscience data, and increasingly complex representation-learning approaches. However, the reliability of AI-derived prospectivity predictions remains a critical challenge be...

Tayssir Abdelbagi Ibrahim Mohamed, Gang Liu, Aref A. Bakheit et al. · 0 citations
#explainable ai Open access Oct 2026

Enterprise AI Implementation: Why Teams Fail Without the Right Skills

Three months after deployment, Fortune 500 teams can't answer basic questions about their AI systems. David Ohnstad explains the fundamental mismatch: vendors design platforms for teams with skills that rarely exist in legacy enterprise environments. Full article: https://davidohnstad.net/enterprise-ai-implementation-t...

David Ohnstad · 0 citations
#explainable ai Open access Oct 2026

Model Business Intelligence Berbasis Explainable AI dan Analisis Ketidakpastian untuk Rekomendasi Strategi Penjualan UMKM

Penelitian ini mengembangkan model Business Intelligence yang mengintegrasikan Explainable AI dan analisis ketidakpastian untuk mendukung keputusan penjualan UMKM Coppo Awi. Data observasi mencakup 809 catatan produk-harian pada Januari–Juni 2025; sebanyak 739 observasi memenuhi kebutuhan fitur historis. Data dipisahka...

Karanita Karanita, Andi Rahma Nur Alam, Arwinda Arwinda · 0 citations
#explainable ai Open access Oct 2026

Statement of Intellectual Origin, Research Method, and AI Assistance

This document explains that Michael T. Dent, M.D.’s research process is driven by interdisciplinary conceptual synthesis across biology, chemistry, physics, medicine, and philosophy, with original ideas and hypotheses developed first and then tested against established theory, prior research, mathematics, and observati...

Michael Dent · 0 citations
#explainable ai Open access Oct 2026

Fairness, Trust and Understanding As Preconditions and Predictors for Industry 5.0 AI Adoption

Background Workplace adoption of AI technologies depends, not only on technical performance, but also on whether people perceive these systems as fair, trustworthy, and understandable. Existing research utilises varied definitions for these concepts, impeding our understanding of how these factors contribute to AI adop...

Siobhan B O’Neill, Padraigh Jarvis, Kenneth N. Brown · 0 citations
#explainable ai Review Open access Oct 2026

From Rules to Autonomous Agents: The Evolution of Artificial Intelligence, Human-AI Integration, and the Governance of Agentic Systems-A Review

Artificial intelligence has evolved from rule-based symbolic systems into learning architectures capable of perception, prediction, content generation, reasoning, planning, tool use, and increasingly autonomous action. This qualitative literature review examines this transition as more than a technological chronology....

Loso Judijanto · 0 citations
#explainable ai Open access Oct 2026

Kummer congruences for the values b^r E_r(a/b) of the Euler polynomials at rational points, and

Let E_r(x) be the Euler polynomials and let p be an odd prime. We prove that for every rational a/b with p not dividing b the numbers f_r = b^r E_r(a/b) are p-integral and satisfy f_r == f_r' (mod p^k) whenever r == r' (mod (p-1) p^(k-1)) and r, r' >= k; this is the only hypothesis. The proof is elementary: f_r is the...

Roberto Blanco Gómez · 0 citations
#explainable ai Open access Oct 2026

Counterexamples and corrections concerning a 2025 paper on Ulam stability of a fractional boundary-value problem

This independent mathematical comment examines the published formulations in I. Nasrallah, R. Aouafi and S. Kouachi, Mathematics 13 (2025), 157, DOI: 10.3390/math13010157. An explicit example satisfies the printed hypotheses of the uniqueness theorem while admitting infinitely many solutions because the stated Green co...

Zeraoulia Rafik · 0 citations

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

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