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explainable ai

2,749 papers

#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
#large language models Open access Oct 2026

Hands-On XAI Labs: companion notebooks for Hands-On Explainable AI

Thirteen executed Colab lab notebooks on interpreting, evaluating, and trusting large language models: feature attribution, attention analysis, probing, chain-of-thought faithfulness, mechanistic interpretability, behavioral auditing, explanation-aware training, and production explainability. Each lab runs on a free-ti...

Hadi Mohammadi · 3 citations
#human-computer interacti... Preprint Oct 2026

Seeing through the Eyes of AI: Situated Explainability in Augmented Reality

Explainable Artificial Intelligence (AI) enables humans to understand and interpret decisions of AI models. Instead of having a black box, explainability supports humans in understanding AI models'behavior. Existing explainable AI approaches often present explanations on 2D displays using pre-recorded data, requiring u...

Ana Stanescu, Lucchas Ribeiro Skreinig, T. Langlotz et al. · 0 citations
#natural language process... Preprint Oct 2026

Writerslogic at PAN 2026: Process over Content for Robust Detection under Domain Shift

We describe the Writerslogic systems for three PAN at CLEF 2026 shared tasks (Reasoning Trajectory Detection, Voight-Kampff Generative AI Detection, and Multi-Author Writing Style Analysis), unified by a shared analytical framework: feature robustness under distribution shift is governed by support overlap between trai...

David Lee Condrey · 2 citations · ⚡2

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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