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explainable ai

2,392 papers

#explainable ai Editorial Open access Sep 2026

Refining Our Focus by Bridging Theory and Practice for Real-World Impact: An Updated Scope for JMIR Medical Informatics

Abstract To align with contemporary trends and place greater focus on persistent and novel challenges in the field, JMIR Medical Informatics has updated its focus and scope. Each submitted work will be evaluated against a stronger criterion for translational impact. Additionally, submissions on AI methods and applicati...

Arriel Benis, Amanda Iannaccio, Andrew J. Coristine et al. · 0 citations
#artificial intelligence Book Open access Sep 2026

KI - Quo vadis? Von ChatGPT über neuronale Netze zu neuromorpher KI

Praktisch nutzbare Künstliche Intelligenz entstand aus dem Bündnis kluger Köpfe mit den rechentechnischen Fähigkeiten Boolescher Automaten – natürliche Intelligenz dagegen aus Selbstorganisation und Evolution. Dieser zweite Weg rückt mit dem neuromorphen Rechnen zunehmend wieder in das Blickfeld von Wissenschaft und Pr...

Volker Kempe · 0 citations
#explainable ai Open access Sep 2026

How Will AI Change Philosophy? Unresolved Questions Concerning Intelligence, Consciousness, and the Definition of Philosophy

The essence of philosophy lies less in providing answers than in determining what is to count as a question. Some philosophical questions do not arise merely from a lack of knowledge. Pain, death, selfhood, freedom, value, and meaning may emerge as philosophical problems only when a conscious subject encounters reality...

Nagae Mamoru · 0 citations
#explainable ai Open access Sep 2026

An LLM-Associated Register Shift in Korean Journal Abstracts: A Morphology-Aware Excess-Vocabulary Study, 2018-2026

Excess vocabulary, a word's frequency above its pre-2023 trend, is how the change in scholarly English after 2022 has been measured. We adapt it to Korean with morphological units on 398,296 KCI abstracts (2018–August 2026), with 47,165 Vietnamese abstracts for comparison. Placebo floors are 0.1–2.2 points for the sing...

Ahron Lee · 0 citations
#explainable ai Open access Sep 2026

Exact contextuality gaps for graphs up to eleven vertices: certified maximizers and the algebraic degrees of the landscape

New in v2.5. At eight vertices three independent enumerations — the per-graph file published with arXiv:2605.12828, the 2012 Amselem–Danielsen–López-Tarrida–Portillo database, and this sweep — give the same 498 graphs, identical as graph6 strings, with zero disagreement on the independence number across all 11 117 grap...

Artem Oktiabrev · 0 citations
#explainable ai Open access Sep 2026

The Vektorgeist Method (VGM): Sovereign, Local, Self-Understanding AI

Most capable AI today is rented, opaque and unaccountable: it runs on someone else's servers, cannot faithfully explain itself, and is governed by whoever owns the endpoint. The Vektorgeist Method (VGM) is Vektorgeist's methodology for building AI that a person can own, inspect and trust. It rests on one premise taken...

Parnell AC · 26 citations
#explainable ai Open access Sep 2026

Scala Ponderum Custodita The Guarded Scale of Weights: Exact-Checkpoint Release Trains fromAuro-156K to Auro-2B

The research problem addressed by Scala Ponderum Custodita is how to transform modern AI systems from persuasive conversational interfaces into reliable producers of extended work. The practical trigger is a class of requests that cannot be completed in one inference: multiple repositories must be inspected,several pla...

Alfredo Medina Hernandez, MedinaTech · 0 citations
#explainable ai Open access Sep 2026

Reproducibility package for: Auditing bipartite motif interpretations (analysis scripts, cached ensembles, figure code)

This package reproduces the analyses, cached null ensembles and figures of "Auditing bipartite motif interpretations: a worked example with conservation checks and open-path decomposition" (Tengfei Shao, submitted to PeerJ Computer Science, 2026). It contains the typed bipartite motif counting operator and three indepe...

Tengfei Shao · 0 citations
#explainable ai Open access Sep 2026

Reproducibility package for: Auditing bipartite motif interpretations (analysis scripts, cached ensembles, figure code)

This package reproduces the analyses, cached null ensembles and figures of "Auditing bipartite motif interpretations: a worked example with conservation checks and open-path decomposition" (Tengfei Shao, submitted to PeerJ Computer Science, 2026). It contains the typed bipartite motif counting operator and three indepe...

Tengfei Shao · 0 citations
#explainable ai Open access Sep 2026

Scala Ponderum Custodita The Guarded Scale of Weights: Exact-Checkpoint Release Trains fromAuro-156K to Auro-2B

The research problem addressed by Scala Ponderum Custodita is how to transform modern AI systems from persuasive conversational interfaces into reliable producers of extended work. The practical trigger is a class of requests that cannot be completed in one inference: multiple repositories must be inspected,several pla...

Alfredo Medina Hernandez, MedinaTech · 0 citations
#federated learning Review Open access Sep 2026

Cross-fusion of digital twins and artificial intelligence in diabetes: from mechanistic elucidation to full-cycle precision management

Although substantial technical, regulatory, and ethical challenges remain unresolved, ongoing progress in hybrid modeling, federated learning, explainable AI, and evolving regulatory frameworks provides a plausible pathway toward individualized prediction and proactive management, provided that claims of clinical readi...

Yue Sun, Ruo-Di Yang, Qi-Rui Xin et al. · 0 citations

From tech blogs

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GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

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.

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

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 Oct 12, 2026

AI Has Grown Up. Have We?

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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