explainable ai

AI-EQRA: Reproducibility package for qualifying AI-derived information in risk assessment

This repository contains the reproducibility package associated with the methodological study “Qualifying AI-derived information for risk assessment: A decision-gated method separating predictive, explanatory, and intervention claims”. The study proposes AI Evidence Qualification for Risk Assessment (AI-EQRA), a sequen...

Data and code for: Diagnosing renewable curtailment in Brazil with public data: Measurement shifts, mechanism-specific observability, and controlled-flow programming signals

This repository contains the processed research data, monthly measurement partitions, final modeling datasets, frozen analytical outputs, documentation, and computational pipeline supporting the manuscript “Diagnosing renewable curtailment in Brazil with public data: Measurement shifts, mechanism-specific observability...

Behavioural Decision-Making in the Age of AI: Minds vs. Models

The emergence of LLMs has accelerated AI’s embedding into everyday decision-making at an unprecedented pace. Yet fundamental questions remain unresolved, when and why do people resist AI advice, do AI systems evaluate information in ways that align with human judgement, and what interventions can improve human-AI align...

AI-Driven Transformation in Sustainable Agriculture: A Systematic Review

A critical and systematic review of the application of Artificial Intelligence in agriculture, analysing its impact on productivity and sustainability, while identifying potential barriers hindering adoption concludes that prioritizing Explainable AI and interoperable farm systems is central to building farmer trust an...

FinancePy cash-settled swaption annuity counts N−1 payments instead of N

Independent GERO audit of FinancePy 1.1.2 and master commit 2b9227fea9d832c4033421d6cd53a54316414fca. IborSwap.cash_settled_pv01 skips a real payment when valued on or before its effective date. A single annual payment at 4% returns zero instead of 1/1.04. With N regular payments, the method sums N−1 discount terms. Th...

Dynamic Accent Accommodation: Training Learners for World Englishes using Generative Speech

Dynamic Accent Accommodation (DAA), a conceptual framework that integrates generative speech synthesis with World Englishes pedagogy to develop learners’ receptive flexibility across diverse English accents, is proposed.

University Students' Perceptions and Practices of Artificial IntelligenceApplications in Chemistry A Questionnaire Survey.xlsx

This dataset contains de-identified questionnaire data from a cross-sectional survey on university students' perceptions and practices of artificial intelligence (AI) applications in chemistry. The survey was conducted online via the Wenjuanxing (Questionnaire Star) platform from September 6 to 9, 2026, targeting under...

A machine learning approach for differential classification of chikungunya virus: an explainable AI study based on surveillance data.

Explainable AI in Corporate Finance: A SHAP-Based Approach to Enhancing Transparency

Findings confirm that SHAP significantly enhances model transparency and generates economically meaningful insights beyond classical regression, supporting its application in auditable, regulatory compliant financial modeling.

Dual-Level XAI-Guided Digital Twin Framework for Prescriptive Decision Making in Sensor-Driven Manufacturing

Achieving Zero-Defect Manufacturing (ZDM) in precision micro-injection molding requires continuous monitoring of non-linear interactions among continuous thermodynamic and kinetic sensor data (e.g., melt temperature, injection pressure) and discrete equipment states. The high-throughput production of optical lenses ope...

Artificial Intelligence-Based Crop Recommendation Using Soil and Climate Data: A Comprehensive Review of Machine Learning, Deep Learning, and Smart Agriculture Approaches

Crop recommendation systems that integrate soil and climate data with artificial intelligence (AI) have expanded rapidly since 2020, spanning classical machine learning (ML), ensemble methods, deep learning, explainable AI (XAI), and Internet of Things (IoT)-enabled sensing. This review critically synthesizes 35 source...

Investigating How AI Ethics Shape Perceived Advertising Credibility, Consumer Trust, and Purchase Decisions: A Systematic Literature Review

Abstract—The increasing use of Artificial Intelligence (AI) in digital advertising has created a new opportunity for businesses while also raising ethical concerns related to privacy, transparency, authenticity, manipulation, and algorithmic bias. These ethical issues may influence how consumers perceive advertising cr...