Results 191 to 200 of about 24,617 (284)

A Bibliometric Analysis to Study the Evolution of Artificial Intelligence in Business Ethics

Business Ethics, the Environment &Responsibility, Volume 35, Issue 2, Page 655-677, April 2026.
ABSTRACT The contemporary world is witnessing the pervasive diffusion of artificial intelligence (AI) across diverse societal domains. Concurrently, the implementation of these technologies in numerous management areas raises novel and critical ethical considerations.
Mario Tani, Valerio Muto, Gianpaolo Basile, Giulia Nevi   +3 more
wiley   +1 more source

A novel approach for earthquake spatial probability modeling by integration of geodetic strain into explainable artificial intelligence (XAI) [PDF]

Süleyman Sefa BİLGİLİOĞLU, Cemil Gezgin, Halil İbrahim Solak, İbrahim Tiryakioğlu   +3 more
openalex   +1 more source

How Important Is Corporate Social Responsibility for Corporate Financial Performance?: A Machine Learning Prediction and Model Interpretability Approach

Business Ethics, the Environment &Responsibility, Volume 35, Issue 2, Page 895-913, April 2026.
ABSTRACT Corporate social responsibility (CSR) has become central to corporate strategy, yet its impact on corporate financial performance (CFP) remains debated. Existing literature, which often relies on conventional statistical methods, overlooks the complex, nonlinear interactions between CSR and CFP.
Ephraim Kwashie Thompson, Samuel Buertey, So‐Yeun Kim   +2 more
wiley   +1 more source

Can surgeons trust AI? Perspectives on machine learning in surgery and the importance of eXplainable Artificial Intelligence (XAI). [PDF]

Langenbecks Arch Surg
Brandenburg JM, Müller-Stich BP, Wagner M, van der Schaar M.   +3 more
europepmc   +1 more source

Explainable Artificial Intelligence (XAI) for Decision-Making Systems

Nandini Bansal, Akshat Shrivastava
openalex   +1 more source

Exploring Transfer Learning's Impact on the Explainability of Deep Learning Models for Wastewater Treatment Plants' Biogas Production

Expert Systems, Volume 43, Issue 4, April 2026.
ABSTRACT The growing reliance on fossil fuels for energy generation has raised concerns about their significant contribution to global warming and the associated risks of supply instability. Anaerobic Digestion (AD) within Wastewater Treatment Plants (WWTPs) offers a renewable alternative by producing biogas, while effective operational optimisation ...
Pedro Oliveira, Afonso Bessa, João Pereira, Sérgio Silva, Maria Salomé Duarte, Dalila Durães, Paulo Novais   +6 more
wiley   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

Global Sensitivity Analysis for Robust XAI: Quantifying Clinical Risk and Prediction Instability in Dermoscopic Image Classification

Risk Analysis, Volume 46, Issue 4, April 2026.
ABSTRACT The high nominal accuracy achieved by deep learning models in predicting malignant skin lesions is frequently undermined by their susceptibility to operational uncertainty. Image acquisition conditions, such as lighting, device settings, and skin characteristics, introduce variations in optical parameters that compromise the model's ...
Giulia Vannucci, Renato Patrik Williame Coppolecchia, Roberta Siciliano   +2 more
wiley   +1 more source

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Luca Longo, Mario Brčić, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf   +18 more
openalex   +1 more source

Distinguishing Between the Short‐Term Climate Responses to Different Stratospheric Aerosol Injection Latitudes With Explainable Artificial Intelligence

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 6, 28 March 2026.
Abstract Stratospheric aerosol injection (SAI), whereby reflective particles are released into the stratosphere to induce cooling, is one possible tool to counteract global warming and its associated risks. However, there is much uncertainty surrounding how SAI would be deployed, as well as the potential of novel and unknown risks and impacts.
Cameron Dong, Charlotte Connolly, Elizabeth A. Barnes   +2 more
wiley   +1 more source