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explainable ai

2,752 papers

#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
#explainable ai Open access Oct 2026

A proof of a conjecture of T. Piesk: nim-products of powers of 2 and Stern's diatomic sequence

We prove a conjecture of T. Piesk stated in 2013 in the OEIS entries A002487 (Stern's diatomic sequence) and A223541 (the array of nim-products 2^m ⊗ 2^n): for every n >= 0, the number of distinct values of 2^x ⊗ 2^y with x + y = n equals A002487(n+1), the number of hyperbinary representations of n. Here ⊗ is Conway's...

Roberto Blanco Gómez · 0 citations
#explainable ai Open access Oct 2026

A proof of a conjecture of T. Piesk: nim-products of powers of 2 and Stern's diatomic sequence

We prove a conjecture of T. Piesk stated in 2013 in the OEIS entries A002487 (Stern's diatomic sequence) and A223541 (the array of nim-products 2^m ⊗ 2^n): for every n >= 0, the number of distinct values of 2^x ⊗ 2^y with x + y = n equals A002487(n+1), the number of hyperbinary representations of n. Here ⊗ is Conway's...

Roberto Blanco Gómez · 0 citations
#explainable ai Open access Oct 2026

Next-Generation Embedded Systems: Advanced Design Methodologies, Real-World Applications, and Emerging Technology Trends

The evolution of embedded systems is more rapid and is bringing about a transformation across all systems of healthcare, automotive, industrial automation, and consumer electronics where intelligent, energy efficient and application specific solutions are becoming more important. The paper seeks to describe the complet...

S.Poornimadarshini, T M Sathish Kumar · 0 citations
#diffusion models Open access Oct 2026

Renewable Energy Explained: Power Systems, Storage & Sustainable Technologies

Renewable Energy Explained: Power Systems, Storage & Sustainable Technologies is a publication-grade Open Educational Resource (OER) module covering the thermodynamic principles, electrochemical modeling, conversion technologies, and grid integration of sustainable power systems. Serving as an integral core module with...

Prep4Uni.Online · 0 citations
#reinforcement learning Open access Oct 2026

Quantum Electronics Explained: Quantum Systems, Devices & Advanced Technologies

Quantum Electronics Explained: Quantum Systems, Devices & Advanced Technologies is a publication-grade Open Educational Resource (OER) module covering the physical principles, macroscopic quantum mechanics, circuit quantum electrodynamics (cQED), and cryogenic microwave control governing quantum hardware. Serving as an...

Prep4Uni.Online · 0 citations
#reinforcement learning Open access Oct 2026

A fault-aware, explainable proximal policy optimization based intelligent control framework with neuromorphic-inspired encoding for voltage and frequency stability

Abstract High penetration of inverter-interfaced generation, faults, and sudden load changes in power systems makes them more vulnerable to voltage and frequency deviations. Traditional controllers often struggle to adapt to varying disturbance types and severities in real time. Adaptive, data-driven control methods ar...

Niharika Agrawal, Sheila Mahapatra, Neeraj Kanwar et al. · 0 citations

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MIT News · Artificial Intelligence Oct 28, 2026

3 Questions: Why infrastructure is entering a defining era

Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.

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