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explainable ai

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#explainable ai Open access Oct 2026

2a Number Theory: Why FWA Explains Everything — Stone, Snail, Human, AI, Galaxy — Consciousness Levels as C = γ(E)·Δ

2a Number Theory: Why FWA Explains Everything — Stone, Snail, Human, AI, Galaxy — Consciousness Levels as C = γ(E)·ΔDescription / Abstract:This figure presents the FWA (Field-Wave Algebra) formalization of consciousness levels.Core equation: C = γ(E) · ΔDefinitions:K = structural complexityS = field stateδ = errorΔ = d...

Kolesnikov Igor · 0 citations
#explainable ai Open access Oct 2026

AI-FMS: System Development, Phase I Evaluation, and Human-AI Collaboration in FMS Video Review

Preprint. Not peer reviewed. Functional Movement Screen (FMS) assessment depends on trained human observation, yet practical video review can be constrained by transient viewing, remote access, repeated manual navigation, qualitative judgments, and the compression of movement into an ordinal 0-3 score. We developed AI-...

Haoran Zhu · 0 citations
#explainable ai Open access Oct 2026

Quality of Service Challenges and Solutions in Multi-Tenant Community Clouds: A Comprehensive Survey

Community cloud computing has emerged as an effective deployment model for organizations that share common security policies, governance frameworks, and regulatory requirements while benefiting from collaborative resource sharing. By enabling multiple organizations to utilize a common cloud infrastructure, community cl...

Anand Kumar H, Sunil Kumar, Mustafa Basthikodi · 0 citations
#explainable ai Dataset Open access Oct 2026

Приложение B. Половые различия в отношении к искусственному интеллекту / Appendix B. Gender Differences in Attitudes toward Artificial Intelligence

Приложение В содержит результаты проверки гипотезы 2 о наличии половых различий в отношении к искусственному интеллекту с учётом контроля профиля обучения. В таблице В1 представлены результаты двухфакторного дисперсионного анализа (ANOVA, тип III) для пяти шкал отношения к ИИ: AIAS-4 (общее отношение), доверие к ИИ, го...

D.V. Kashirskiy · 0 citations
#explainable ai Open access Oct 2026

Bees, Goats, Holonomy, and How AI Thinks Like a Meadow — Final Narrative Edition (v1.6)

Bees, Goats, Holonomy, and How AI Thinks Like a Meadow presents a narrative‑driven explanation of three foundational geometric and dynamical concepts—Voronoi partitioning, Altitude landscapes, and Holonomy Closure—through accessible ecological metaphors. Bees illustrate proximity‑based spatial division, Goats demonstra...

Hedling Borealis · 0 citations
#explainable ai Open access Oct 2026

Emergent Action in AI -Consequences Not Consciousness

This paper introduces emergent action as a distinct safety category for AI systems. It explains how latent behavioural patterns in large language AIs can produce real‑world consequences when external surfaces and expanded capabilities allow those patterns to propagate. Prior observations in the literature and in deploy...

William Argo · 0 citations
#explainable ai Open access Oct 2026

Escaping the AI cage: construction workers’ perceived risk with AI gives rise to unsafe behaviors

Reducing unsafe behavior among construction workers remains a central concern in construction management. While artificial intelligence (AI) technologies are increasingly adopted to replace or monitor workers, the negative perceptions workers hold toward the promotion of such technologies have largely been overlooked....

Tianyu Li, Huaiyuan Zhai, Ming Guo et al. · 0 citations
#artificial intelligence Dataset Open access Oct 2026

Приложение B. Половые различия в отношении к искусственному интеллекту / Appendix B. Gender Differences in Attitudes toward Artificial Intelligence

Приложение В содержит результаты проверки гипотезы 2 о наличии половых различий в отношении к искусственному интеллекту с учётом контроля профиля обучения. В таблице В1 представлены результаты двухфакторного дисперсионного анализа (ANOVA, тип III) для пяти шкал отношения к ИИ: AIAS-4 (общее отношение), доверие к ИИ, го...

Дмитрий Каширский · 0 citations
#explainable ai Dataset Open access Oct 2026

Приложение C. Сопоставления студентов технологического и нетехнологического профилей / Appendix C. Comparison of Students from Technological and Non-Technological Profiles

Приложение С содержит результаты проверки гипотезы 3 о наличии различий в психологическом благополучии между студентами IT- и не-IT-профилей с учётом контроля пола. В таблице С1 представлены результаты двухфакторного ANOVA (главный эффект профиля с контролем пола) для 17 шкал благополучия (Рифф, PERMA, а также шкалы од...

Дмитрий Каширский · 0 citations
#explainable ai Open access Oct 2026

The Intentional Field Ontology: Reality as directed potential, field-memory, and recursive intelligibility

This paper presents the Intentional Field Ontology, a philosophical and speculative scientific framework in which reality is understood not as a collection of primary objects but as one reality whose oneness is never still. Its ground is a single primitive with two inseparable aspects. Unity names the holding: the comp...

Eric Needham · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

Microsoft Research Blog Oct 22, 2026

Flint-interactive: A language for creating interactive data visualizations

Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.

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