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explainable ai

2,807 papers

#explainable ai Book Open access Sep 2026

THE EL-RAKHAWI SOVEREIGN HEALTH PROTOCOL Electronic Health Records and Post-Quantum Defense in the Age of Medical AI Il Protocollo El-Rakhawi Sanitario Sovrano: Fascicolo Sanitario Elettronico e Difesa Post-Quantica nell'Era dell'IA Medica

"The El-Rakhawi Sovereign Health Protocol" by Dr. Mohamed Kamal Arafa Elrakhawi establishes a foundational framework for digital health sovereignty. It asserts medical data is a sovereign extension of the human body, not a corporate asset. The Protocol mandates four pillars: absolute patient ownership via cryptographic...

mohamed kamal arafa el-rakhawi · 0 citations
#explainable ai Open access Sep 2026

Critical-infrastructure-resilience-command-center: Critical Infrastructure Resilience Command Center — v0.1.0

Critical Infrastructure Resilience Command Center — v0.1.0 Initial public release of a research-prototype command center that unifies Zero Trust posture, post-quantum cryptography (PQC) migration readiness, and AI-driven predictive maintenance into a single resilience-scoring platform for synthetic critical-energy digi...

Friday Ogochukwu Ikwuogu · 0 citations
#explainable ai Open access Sep 2026

The Period a Moving-Average Crossover Finds Is Made by the Ratio of the Two Periods: Holding the Ratio Fixed and Multiplying Both Periods by Eight Moves the Normalised Interval Only from 0.650 to 0.653 [F001]

二本の移動平均のクロスについて「この組み合わせは約N本の波を捉えている」と言われることがある。そのNを決めているのが相場なのか、二本の期間の選び方なのかを、ティックデータで測った。 四銘柄(USDJPY・EURUSD・GBPUSD・XAUUSD)の2019年から2024年までの1時間足で、連続するクロスの間隔の中央値を、三つの族について測った。比を4.0に固...

Yuuki Yamagishi · 0 citations
#explainable ai Open access Sep 2026

Problem Sheets - Artificial Intelligence in the Life Sciences - Ruhr University Bochum

This record contains five problem sheets from the lecture Artificial Intelligence in the Life Sciences, held in the winter term 2025/26 at the Faculty of Biology and Biotechnology, Ruhr University Bochum. The exercises take students from classical machine learning to modern deep learning and explainable AI, and many of...

Johannes Schwarz, Axel Mosig · 0 citations
#explainable ai Sep 2026

When risk becomes a story: Culture, loss allocation, and lessons from iceland

Abstract When Iceland's three largest banks failed in October 2008, the immediate problem was brutally concrete: a banking system that dwarfed the domestic economy had collapsed, and someone had to absorb the losses. Balance‐sheet structure explains why the banks failed. It says less about why repeated warnings carried...

Sigurður Emil Pálsson, Elizaveta Pinigina · 0 citations
#explainable ai Review Open access Sep 2026

When readiness fails: a TOE–TAM mixed-methods analysis of AI-enabled HR digitalization in a resource-constrained small island context

This study examines barriers to adopting artificial intelligence (AI) in human resource management (HRM)—hereafter AI-enabled human resources (AI-HR)—across Zanzibar’s public and private sectors and asks whether the standard predictors of an integrated Technology–Organization–Environment and Technology Acceptance Mod...

Jecha S. Jecha, Ally Khamis Ali, Adilu Mussa · 0 citations
#explainable ai Open access Sep 2026

Stock Portfolio Optimization with Explainable AI: A Comparative Study with the Black-Litterman Model

This study aims to determine whether an artificial intelligence (AI) approach can outperform Black-Litterman (BL) -a classical stock portfolio optimization framework.Using a diversified dataset that contains market indices, sector exchange-traded funds (ETFs) and stocks, we compare the performance of XGBoost with a Bla...

Meral KAGITCI, Sener Ali · 0 citations
#explainable ai Open access Sep 2026

Acceptance of Artificial-Intelligence Chatbots for Support with Depressive Symptoms: The Predictive Primacy of Perceived Usefulness Over Well-Being

Artificial-intelligence (AI) chatbots are increasingly proposed as low-threshold instruments for supporting peoplewith depressive symptoms, yet it remains unclear whether their acceptance is governed by users’ psychological needor by instrumental appraisal. Drawing on the Technology Acceptance Model, the present study...

Sora Pazer · 0 citations
#explainable ai Book Open access Sep 2026

THE EL-RAKHAWI SOVEREIGN HEALTH PROTOCOL Electronic Health Records and Post-Quantum Defense in the Age of Medical AI Il Protocollo El-Rakhawi Sanitario Sovrano: Fascicolo Sanitario Elettronico e Difesa Post-Quantica nell'Era dell'IA Medica

"The El-Rakhawi Sovereign Health Protocol" by Dr. Mohamed Kamal Arafa Elrakhawi establishes a foundational framework for digital health sovereignty. It asserts medical data is a sovereign extension of the human body, not a corporate asset. The Protocol mandates four pillars: absolute patient ownership via cryptographic...

mohamed kamal arafa el-rakhawi · 0 citations
#explainable ai Dataset Open access Sep 2026

Database of Byzantine Book Epigrams - Archive

This dataset is an extension of the publication of the Database of Byzantine Book Epigrams (2023). The 2023 publication is a copy of the data used for the live application on dbbe.ugent.be. The present dataset aims to offer a simplified structure of the DBBE data, facilitating computational research and data analysis....

Kristoffel Demoen, Sofia Belioti, Gilbert Bentein et al. · 0 citations
#explainable ai Open access Sep 2026

Acceptance of Artificial-Intelligence Chatbots for Support with Depressive Symptoms: The Predictive Primacy of Perceived Usefulness Over Well-Being

Artificial-intelligence (AI) chatbots are increasingly proposed as low-threshold instruments for supporting peoplewith depressive symptoms, yet it remains unclear whether their acceptance is governed by users’ psychological needor by instrumental appraisal. Drawing on the Technology Acceptance Model, the present study...

Sora Pazer · 0 citations

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MIT News · Artificial Intelligence Oct 30, 2026

Q&A: Hey AI, who should I vote for this year?

MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.

Microsoft Research Blog Oct 30, 2026

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.

GPT-Lab Oct 30, 2026

Black October? The Week AI Changed the Cybersecurity Conversation

Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.

Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

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