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explainable ai

2,588 papers

#explainable ai Open access Oct 2026

Process bigraphs and the architecture of compositional systems biology

Building multiscale biological models requires the integration of independently developed submodels, which means moving shared variables between them and coordinating when each submodel runs. Existing tools typically address isolated biological mechanisms with specific numerical methods, rarely specify which variables...

Eran Agmon, Ryan K. Spangler · 0 citations
#explainable ai Book Open access Oct 2026

THE EL-RAKHAWI THEORY OF PREDICTIVE CLIMATE JUSTICE AND TRANSNATIONAL CORPORATE ACCOUNTABILITY Re-engineering Legal Liability of Transcontinental Corporations Through Eco-Digital Governance Models

The El-Rakhawi Theory of Predictive Climate Justice and Transnational Corporate Accountability (DOI: 10.5281/zenodo.23271861) presents a groundbreaking interdisciplinary framework transforming climate litigation from reactive post-harm adjudication to preventive predictive accountability. It harnesses AI-powered climat...

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

THE EL-RAKHAWI THEORY OF GLOBAL ALGORITHMIC CONSTITUTIONALISM Reformulating Criminal and Civil Liability of Self-Learning Systems in Light of Comparative Legal Jurisprudence

The El-Rakhawi Theory of Global Algorithmic Constitutionalism (DOI: 10.5281/zenodo.23271719) presents a groundbreaking comparative legal framework addressing the accountability crisis of self-learning AI systems. It establishes that autonomous systems exercise "functional agency" requiring constitutional-level oversigh...

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

A Lean-verified proof of the empty-set-free height-five case of Frankl's conjecture

Unrefereed AI-assisted preprint, version 0.4.1, 9 October 2026. Every finite nonempty union-closed family of distinct nonempty finite sets with inclusion height at most five has an element occurring in strictly more than half its members. Height counts members in a strict inclusion chain. This is the empty-set-free hei...

Shunpei Shimizu · 0 citations
#diffusion models Open access Oct 2026

Understanding ChatGPT adoption among medical students: an integrated theoretical model of psychological barriers and individual factors

The growing adoption of generative artificial intelligence (GenAI), particularly ChatGPT, has created new opportunities for medical education by supporting learning, problem-solving, and knowledge acquisition. However, evidence regarding the psychological and individual factors influencing ChatGPT adoption among me...

Ayoob Lone, A. Alshebami, I. Dar et al. · 0 citations
#diffusion models Open access Oct 2026

One spin per correlation volume: a conditional Simon inequality and the cost of reading a ferromagnet

How many spins of a ferromagnet must one observe to learn its magnetization? For the ferromagnetic Ising model in zero field on a finite graph we prove that, for every set U of observed sites and all sites x, y, E[ E[σ_x | σ_U] E[σ_y | σ_U] ] ≤ Σ_{u∈U} ⟨σ_x σ_u⟩⟨σ_u σ_y⟩. This extends Simon's correlation inequality fro...

David Dudaš · 0 citations
#diffusion models Open access Oct 2026

Antecedents of Adoption Intention for AI-Driven Wearable Technology in Malaysian Healthcare

This study reports the pilot phase of a larger doctoral investigation into the adoption of AI-driven wearable technology in Malaysian healthcare. Guided by an integration of Diffusion of Innovations theory and the Technology Acceptance Model, the pilot tested seven direct effect hypotheses linking compatibility, relati...

Syeda Hafsa Rizwan, Anusuyah Subbarao, Shereen Khan · 0 citations
#generative ai Book Oct 2026

Redesigning Authentic Assessment and Feedback Practices in the Generative AI Era

The rapid growth of Generative Artificial Intelligence in higher education has made assessment more complex. Its importance lies in protecting genuine learning and academic integrity in AI rich environments. The main objective of this chapter is to explain how assessment and feedback practices can be redesigned to meas...

Sushil Bhardwaj, Sweta Rana, Indu Sharma et al. · 0 citations
#generative ai Review Open access Oct 2026

A Comprehensive Review of Applications, Challenges, and Future Directions of Artificial Intelligence in Mortgage Lending

The mortgage lending industry is experiencing a significant transformation as it embraces Artificial Intelligence (AI) for its impact on decision-making, operations, risk management, and customer service. Many of the activities associated with mortgage processes can be automated and improved using technologies such as...

Kurchania Amit · 0 citations
#generative ai Open access Oct 2026

PREreview of "The Genetic Fence Strategy: Key for Cell Differentiation, Organism Development, Biodiversity, Cellular Homeostasis, Cancer Prevention, and Disease Sequestering"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23269329. Major issues The article has an interesting, engaging and comprehensive. Although, Abstract and Introduction: The central concept of the "Genetic fence" was not sufficient...

Mabel Bolajoko Omoniwa, Better Olaronke Ajiboye, 1 other author · 0 citations
#generative ai Open access Oct 2026

Mobile Generative AI Literacy and English Writing Self-Efficacy: The Role of AI Feedback Engagement in Higher Education

This study examines the relationship between mobile Generative Artificial Intelligence (GenAI) literacy and English writing self-efficacy (EWSE) among university students, with AI feedback engagement (AFE) proposed as a mediating mechanism. Using a quantitative cross-sectional design, data were collected from 312 unive...

Liu Dan, Zuwati Hasim, Jia Wei Lim · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

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