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explainable ai

2,749 papers

#explainable ai Oct 2026

Fusion-Based Explainable Deep Learning Framework for Species Classification of Jelly Fungi from Field Images

A novel deep learning framework combining convolutional neural networks, model fusion, and explainable AI to automate and interpret the classification of jelly fungi offers broad potential in biological applications such as spore and pollen identification, contributing to biodiversity monitoring and advancing AI-driven...

İ. Karaltı, F. Eki̇nci̇, E. Kumru et al. · 0 citations
#federated learning Review Open access Oct 2026

Multimodal AI in hematology: a systematic review of fusion approaches for automated diagnosis of blood disorders

Hematological disorders, including anemia and leukemia, pose major health risks globally, especially in developing areas. Around 1.92 billion people are affected by anemia, with about 475,000 new leukemia cases diagnosed yearly, resulting in approximately 310,000 deaths. The reliance on subjective conventional diagnost...

Bhavadharani Babu, S. Umapathy · 0 citations
#explainable ai Book Open access Oct 2026

Towards LLM-Driven Transformation of Goal Models for AI-Enabled Socio-Technical Systems

Organizations are increasingly transforming traditional software systems into AI-enabled socio-technical systems. While goal models are widely used to capture stakeholder intentions, organizational objectives, and system requirements, existing approaches provide limited support for systematically evolving these models...

Ahmed Hassine, Jameleddine Hassine · 0 citations
#explainable ai Book Open access Oct 2026

Automated Modelica Model Repair Using Generative AI

This PhD contributes an agentic LLM-based framework for diagnosing and repairing Modelica models, together with the empirical foundations that make it feasible and reproducible.

Masoud Sadrnezhaad · 0 citations
#explainable ai Open access Oct 2026

CircuitIA — herramienta IA para la academia (UMH)

Genera problemas de análisis de circuitos (Ohm, Kirchhoff, nudos y mallas, Thévenin y Norton, operacionales, transitorios RC, RL y RLC, régimen sinusoidal) con su esquema y su solución calculada por un solver propio, contrastado con ngspice. Cada estudiante recibe sus valores a partir de una semilla reproducible; la co...

Fernando Borrás, Alba Hortal · 0 citations
#explainable ai Open access Oct 2026

JAZB Framework v1.3: Judiciary AI Zero-Trust Broker

JAZB (Judiciary AI Zero-Trust Broker) is an Authority-centric, human-sovereign enterprise governance framework and architecture for artificial intelligence designed to govern the establishment, delegation, interpretation, exercise, assurance, and revocation of organizational Authority. JAZB applies Zero Trust, least pr...

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

AI-Driven Customer Analytics and Personalized Marketing: Examining Customer Experience, Loyalty and Purchase Intention In Digital Markets

The present study investigates how AI-driven customer analytics and personalised marketing influence customer experience, customer loyalty and purchase intention in digital markets, applying a Stimulus-Organism-Response framework extended with privacy concerns as a boundary condition. Data were drawn from a quantitativ...

Dr. Sameer Pawar · 0 citations
#explainable ai Open access Oct 2026

Open Science Desktop: a local-first, model-agnostic AI research workbench

Install & first launch macOS — Apple Silicon: …_aarch64.dmg · Intel: …_x64.dmg (requires macOS 13+) Developer ID-signed and notarized. Open the DMG and drag Open Science into Applications. When you use an existing project in place, allow access to its folder if macOS asks. Windows — …_x64-setup.exe (start here) · …_x64...

The Open Science Desktop Contributors · 0 citations
#explainable ai Open access Oct 2026

POLICYIQ: AN AI-POWERED POLICY CONFLICT VERIFICATION SYSTEM

Abstract Organisations, governments and regulated industries operate under large, continuously revised bodies of policy. As these documents evolve across versions, editions and jurisdictions, overlapping, contradictory or silently modified clauses accumulate and create compliance, governance and legal risk that manual...

KOPPOLU SAHITH, VADDE VENKI, VIPUL PONUGOTI, KORADA VENKATA KARTHIK, KORADA RAMESH · 0 citations
#explainable ai Review Open access Oct 2026

Artificial Intelligence Anxiety and Employee Performance: A Systematic Literature Review of Job Insecurity, Threat–Challenge Appraisal, Coping, Career Resilience, and Organisational Buffers

This systematic literature review examines the relationship between artificial intelligence (AI) anxiety and employee performance, with particular attention to job insecurity, threat–challenge appraisal, coping, career resilience, job crafting, leadership, training, organisational support, and human–AI collaboration. T...

Darpan Sudhakar Kondagekar · 0 citations
#explainable ai Open access Oct 2026

D.R.O.N.E.: A Neural Network Architecture with JIT Compilation and Executable Memory

D.R.O.N.E. (Dynamic Responsive Optimized Neural Engine) is a small artificial intelligence written from scratchin C. It uses no outside libraries and no pre-trained model, and it runs offline on an ordinary CPU. Each AI builton the engine is called a drone.The design splits the work of answering into two parts. An exac...

Maximum Tension, Hüseyin Teoman Deniz · 0 citations
#explainable ai Open access Oct 2026

Explaining the Outcomes of Goal Recognition Systems

Goal Recognition infers an actor’s goal from observed actions and is critical for human-AI cooperation in areas like robotics, healthcare, and autonomous driving. Traditional Goal Recognisers (GRs) predict likely goals but rarely explain their reasoning, limiting their application. This research develops a framework fo...

Jair da Silva Ferreira Junior · 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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