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explainable ai

2,588 papers

#explainable ai Review Open access Oct 2026

Artificial Intelligence for Intelligent and Privacy-Preserving Healthcare: A Survey of Medical Image Analysis, Multimodal Diagnosis, Semi-Supervised Learning, and Personalized Healthcare Systems

Artificial intelligence (AI) is increasingly embedded in healthcare, from image-based diagnosis to patient-facing management tools, yet the supporting literature is fragmented across communities that rarely read one another. Motivated by the need for a coherent view, this survey examines four recent peer-reviewed studi...

Abhinav Krishna, Akshay G, Abhishek Sreeji et al. · 0 citations
#explainable ai Book Open access Oct 2026

Small Firm, Smart Machines

Book 3 of the Power and Responsibility in the Age of AI series. Small and medium-sized firms make up more than 99 per cent of businesses, yet they are adopting AI more slowly than large ones, and the gap is widening. This book is a practical guide for the owners, managing directors and managers who run them. It explain...

Adrian Summers · 0 citations
#explainable ai Open access Oct 2026

From mathematical connections to curriculum prerequisites: A scoped evidential framework for curriculum audits

抄録 A mathematical connection can justify retaining a link between topics without justifying a compulsory teaching order. Curriculum prerequisite diagrams often obscure whether a resource is recoverable, actually used by a solution, necessary for an observation, or required by learners. The Dependency-Structured Mathe...

Joaquim Reizi Higuchi · 0 citations
#explainable ai Book Open access Oct 2026

KI am Wendepunkt: Von ChatGPT über neuronale Netze zu neuromorpher KI

Das Spannungsfeld zwischen den etablierten Technologien der konnektionistischen KI und ihren neuromorphen Herausforderern rückt derzeit besonders durch den riesigen Energiebedarf ersterer und die sparsame Funktionsweise letzterer immer stärker in das Rampenlicht. Der Energieverbrauch für Entwicklung und Einsatz großer...

Volker Kempe · 0 citations
#explainable ai Book Open access Oct 2026

The Empty Occupant: Answerability, Testimony, and the Limits of Machine-Mediated Authority

An institution can identify who is legally responsible for an automated decision and still lack an effective way to make a justified challenge change its outcome. What, then, sustains its authority to demand compliance? The Empty Occupant: Answerability, Testimony, and the Limits of Machine-Mediated Authority investiga...

Nicholas Cott · 0 citations
#explainable ai Open access Oct 2026

Prevalence of misophonia across case definitions and populations: systematic review and meta-analysis

Protocol (v1.0, frozen 2026-10-10) of a systematic review and meta-analysis of the prevalence of misophonia. Estimates are pooled separately for each case-definition level (symptom level; clinically significant by a validated questionnaire cut-off; diagnosed by interview) in non-clinical and clinical populations, and t...

Martin Rekhert · 0 citations
#explainable ai Open access Oct 2026

From a Talking Encyclopedia to a Digital Coworker. Google coworker agents and the growing role of AI in work, contracting, and consequential organizational decisions

On October 8, 2026, Google Cloud announced the Gemini agent and the possibility of creating coworker agents with defined organizational roles, distinct Workspace accounts, email addresses, calendars, storage, access permissions, and attributable actions [1]. The announcementis the starting event of this paper, not evid...

Alex Malachevsky · 0 citations
#explainable ai Open access Oct 2026

A Clinical Prediction Model for Identifying a Nociplastic Pain Component: Development, Internal Validation, and Evaluation in a Tertiary Chronic Pain Cohort

This project will develop and internally validate a clinical prediction model that estimates the probability of a nociplastic pain component in adults with chronic pain. Nociplastic pain describes pain arising from altered nociception without clear evidence of tissue damage or a lesion or disease of the somatosensory s...

Jeremy Steen, Kishore Jaiswal, Dinesh Arun Kumbhare · 0 citations
#explainable ai Open access Oct 2026

An infinite family of non-star trees admitting Laplacian peak state transfer

Unrefereed AI-assisted preprint, version 0.2.2, 9 October 2026. No author affiliation is given. For each m >= 1, set q = m^2 + m + 1. Attach q intermediate vertices to a root and q - 1 leaves to each intermediate vertex. This produces infinitely many pairwise nonisomorphic non-star trees of order q^2 + 1, with root Lap...

Shunpei Shimizu · 0 citations
#explainable ai Open access Oct 2026

Who Gets the House? Related-Party Transfers and the Cash–Mortgage Price Gap in New York City

Repeat sales can hold a property fixed while comparing transactions with different financing labels. Using New York City deed and mortgage records for 2016–2025, the paper finds a house price contrast of 9.25 log points [7.17, 11.35] between purchases with and without a matched mortgage, after permit, institutional-sel...

Pablo Loschi · 0 citations
#explainable ai Open access Oct 2026

Local capital geometry for maxmin concavification (C73-17)

A local-capital-geometry characterization of equality between the informed-player maxmin and concavification at every prior. The additional Lean project formalizes the criterion using the nonrevealing lower value; its README explains the relationship to the complete-information game value and the manuscript's determina...

Ji Ho Bae · 0 citations

From tech blogs

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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.

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.

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