explainable ai

AI Cautionary Guide: Pitfalls and Strategies for the Use of Machine Learning in Medical Research.

By outlining many of the common potential issues, this compilation of common pitfalls and practical safeguard considerations for ML-enabled medical research aims to provide the medical and research community with practical insights to help foster trustworthy ML-enabled medical research.

Explainability in Forecasting Hospital Readmissions with Machine Learning.

This framework illustrates how EHR-based classifiers enhanced with transparent XAI outputs can facilitate actionable, auditable, and clinically meaningful forecasting in the hospital environment.

Integrating SAOS, LAOS, and food tribology: Emerging frameworks for structure-function relationships and sensory prediction in food systems.

Food structure and its effect on deformation behaviour and sensory perception is still a challenge in food science. Small-Amplitude Oscillatory Shear (SAOS) is a common method for the determination of the linear viscoelastic properties and stability of food materials, but it is not applicable to large deformations, suc...

AN EMPIRICALLY REFINED HUMAN-CENTERED EXPLAINABLE AI DECISION-SUPPORT FRAMEWORK FOR EMPLOYEE PERFORMANCE APPRAISAL: EVIDENCE FROM SRI LANKAN EMPLOYEES

AN EMPIRICALLY REFINED HUMAN-CENTERED EXPLAINABLE AI DECISION-SUPPORT FRAMEWORK FOR EMPLOYEE PERFORMANCE APPRAISAL: EVIDENCE FROM SRI LANKAN EMPLOYEES

One and the Same log_2 Counts a Ratio in One Law and Items in the Other ── Fitts's Law Stays at 4.3219 When D and W Are Scaled Together ── Hick's Law Turns 32 Times the Choices into Only 2.7333 Times the Time ── [Paper 345]

Fitts’s law and Hick’s law both say that time goes as log_2. This paper asks whether they are saying the same thing──the answer is that what is inside the log_2 differs: a dimensionless ratio in one, a count in the other. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new ma...

Molecular modeling design of antitrypanosomal pyrazolone derivatives targeting Chagas disease: QSAR, docking, molecular dynamics and free energy calculations

These findings support pyrazolones as antitrypanosomal scaffolds and provide structural hypotheses for future experimental validation against Cz, suggesting that contacts with S2/S3 subsite residues and conformational adaptability may contribute to Cz recognition but do not, alone, explain whole-cell potency.

Can a Machine Choose Who Lives? Artificial Intelligence and the Limits of Moral Understanding

This paper asks whether artificial intelligence can truly understand right and wrong, or if it only copies moral language without real understanding. It uses the classic trolley problem, where a person must choose between saving three people or one person, to explore how AI handles difficult moral choices. The paper lo...

Four Instruments and Two Articles: What AI Record-Keeping Rules Require, and What They Leave Out

Two readings of published instruments, made in September 2026. The first reads four instruments that will oblige deployers to keep recordsagainst a single question: do they require a record to say who authorised aconsequential action, and to be checkable by somebody other than the partythat produced it? The EU AI Act,...

CARE-X: Capability-Aware Reliable and Explainable AI for Healthcare Operations

Healthcare artificial intelligence increasingly functions as part of an augmented system in which information, computational resources, external interfaces, and operating rules can alter what a fixed predictive component is able to accomplish. Yet evaluation commonly focuses on final performance, leaving these dependen...

A guide to building your own artificial intelligence

This paper explains how I built my own AI assistant using Python and an AI API, inspired by Jarvis. It can search the internet, solve math and science problems, help with coding, and adjust its tone based on past conversations with a user. The paper covers the technical problems I faced while building it, like handling...

V3 Architecture — Universal Bond Calculator: Mechanical Derivation of All Chemical Bonds (Covalent, Ionic, Metallic, Hydrogen, Van der Waals, Coordinate, Intercalation) — Formal Proof in Ada SPARK, Scientific Images, and Thesis

ABSTRACT This deposit presents the complete mechanical derivation of all chemical bonds within the V3 Architecture. The V3 Architecture is a unified physical and chemical theory built on a single substrate: phase pressure in the H₃O₂ condensate. All phenomena — from the proton vortex to molecular interactions — are der...