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explainable ai

2,175 papers

#explainable ai Open access Oct 2026

The ShowPapers Protocol: From Scattered Documents to Usable, Portable Records

The ShowPapers Protocol keeps original documents, structured details, linked notes, organization and review decisions together in a portable collection. ZIP carries the files; the protocol defines their records, relationships, provenance and proposed changes. This technical report describes specification 1.0.0, includi...

Nirbhay Pherwani, Ameya Kulkarni · 0 citations
#explainable ai Open access Oct 2026

PhytoDiagnostix — herramienta IA para la academia (UMH)

Banco de más de 50 microfotografías de Wikimedia Commons, cada una con su autoría y licencia. El código comprueba la respuesta del estudiante contra la etiqueta de la foto; la IA, opcional, explica sin cambiar el veredicto. El profesorado añade sus propias fotos con un JSON en el repositorio. A bank of 50+ Wikimedia Co...

Fernando Borrás, María E. García-Pastor · 0 citations
#explainable ai Open access Oct 2026

ACAAI - Accountability by Design for Agentic AI: A Lifecycle Framework for Engineering Accountability in Autonomous AI Systems

Artificial intelligence is rapidly evolving from systems that generate recommendations and content towards autonomous agents capable of planning, reasoning, interacting with external systems, using tools and executing actions with limited human intervention. As AI systems become more agentic, accountability can no long...

Isabel Barberá · 0 citations
#explainable ai Open access Oct 2026

Robotics and Automation in Electrical Engineering Explained: Control Systems, Sensors, Actuators and AI

Robotics and Automation in Electrical Engineering Explained: Control Systems, Sensors, Actuators and AI is a publication-grade Open Educational Resource (OER) module covering the electromechanical, power electronic, embedded computing, and real-time communication architectures governing robotic manipulators and autonom...

Prep4Uni.Online · 0 citations
#explainable ai Dataset Open access Oct 2026

Dataset of Literature on Explainable Artificial Intelligence (XAI) in Education (2019–2026)

## Description This dataset contains a curated bibliometric collection of **118 peer-reviewed publications** indexation records from **Scopus** focusing on **Explainable Artificial Intelligence (XAI) in Education** published between **2019 and 2026**. The collection covers empirical studies, systematic mapping reviews,...

Carlos Enrique George-Reyes · 0 citations
#explainable ai Open access Oct 2026

The double-edged sword effect of AI autonomy on tourists' continuance usage intention: Based on conservation of resources theory

Artificial intelligence (AI) empowers tourists by improving their decision-making efficiency, while simultaneously undermining their sense of autonomy and control, thereby producing disempowering effects. The pathways and mechanisms underlying these effects require in-depth exploration. Based on conservation of resourc...

Guopeng Xiang, Chao Hu · 0 citations
#explainable ai Open access Oct 2026

AI vs. human authorship in paintings: Differential impacts on consumers' perceived value Guangdong Provincial Graduate Education Innovation Program Project: Research on the Evaluation Index System for Practical Innovation Ability of Professional Degree Graduate Students (2024JGXM-076)

The proliferation of artificial intelligence (AI) art generators has introduced algorithmically created paintings into mainstream consumer markets, yet consumers consistently assign lower value to AI-generated works than to human-created equivalents. This paper proposes perceived creative authenticity---consumers' subj...

Dan Zhang, Peiyao Chen, Yixuan Wu et al. · 0 citations
#explainable ai Open access Oct 2026

Systematic Review as Recipe Book for Nuanced Emotion Detection in Noisy Text

Recognizing emotion in informal text at the granularity mental health support requires, telling nervousness from fear or remorse from sadness, remains far below usable accuracy: five years of work on Google’s GoEmotions multi-label 28-emotion dataset has reached only .5475 macro F1, and no systematic review has examine...

Jeff Winchell, Jamila Iqbal, Nwagu Chima Ajanwachuku et al. · 0 citations
#explainable ai Open access Oct 2026

Sapiens in Control: A Six-Dimension Framework for Evaluating Control Failures in Advanced AI Agents

Sapiens in Control, formerly Human in Control, is the same independent public-interest research initiative and working-paper series. This paper proposes the Human Control Model: Intervention Durability, Technical Containment, Informed Delegation, Oversight Integrity, Control Contagion, and Situational Grounding. Versio...

Human in Control Project · 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
#artificial intelligence Open access Oct 2026

ACAAI - Accountability by Design for Agentic AI: A Lifecycle Framework for Engineering Accountability in Autonomous AI Systems

Artificial intelligence is rapidly evolving from systems that generate recommendations and content towards autonomous agents capable of planning, reasoning, interacting with external systems, using tools and executing actions with limited human intervention. As AI systems become more agentic, accountability can no long...

Isabel Barberá · 0 citations
#data science 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

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Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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