Results 101 to 110 of about 56,159 (288)

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

Business Ethics, the Environment &Responsibility, EarlyView.
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

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

Business Ethics, the Environment &Responsibility, EarlyView.
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

Unveiling the factors of aesthetic preferences with explainable AI

British Journal of Psychology, EarlyView.
Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley   +1 more source

AI Competency and Perception of XAI Importance Versus Attitude Toward AI: Mediating Effects of Belief in XAI Availability

Advances in Human-Computer Interaction
In this research, we hypothesize that attitudes toward artificial intelligence (AI) are shaped by individuals’ perceived competence in using and managing it, as well as their assessment of the importance of AI’s understandability and transparency, often ...
M. Liebherr, A. Babiker, S. AlShakhsi, D. Al-Thani, C. Montag, R. Ali   +5 more
doaj   +1 more source

Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification

British Journal of Psychology, EarlyView.
Abstract Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies ...
Ruoxi Qi, Yueyuan Zheng, Yi Yang, Caleb Chen Cao, Janet H. Hsiao   +4 more
wiley   +1 more source

On Evaluating Black-Box Explainable AI Methods for Enhancing Anomaly Detection in Autonomous Driving Systems

Sensors
The recent advancements in autonomous driving come with the associated cybersecurity issue of compromising networks of autonomous vehicles (AVs), motivating the use of AI models for detecting anomalies on these networks.
Sazid Nazat, Osvaldo Arreche, Mustafa Abdallah   +2 more
doaj   +1 more source

Comparability between AI and human cognition and its role in psychological research and AI ethics

British Journal of Psychology, EarlyView.
Abstract With the advances in AI technology, comparison studies between humans and AI can not only enhance our understanding of information processing mechanisms underlying human cognition but also facilitate our understanding of AI systems' behaviour and interactions with humans.
Janet H. Hsiao
wiley   +1 more source

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey

IEEE Access
The field of drug discovery has experienced a remarkable transformation with the advent of artificial intelligence (AI) and machine learning (ML) technologies.
Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, Senthil Kumar Jagatheesaperumal, Rene Ripardo Calixto, Mohamed Rahouti, Mohamad Roshanzamir, Victor Hugo C. De Albuquerque   +7 more
doaj   +1 more source

XAI in healthcare

The evolution of Explainable Artificial Intelligence (XAI) within healthcare represents a crucial turn towards more transparent, understandable, and patient-centric AI applications. The main objective is not only to increase the accuracy of AI models but also, and more importantly, to establish user trust in decision support systems through improving ...
Gezici, Gizem, Metta, Carlo, Beretta, Andrea, Pellungrini, Roberto, Rinzivillo, Salvatore, Pedreschi, Dino, Giannotti, Fosca   +6 more
openaire   +2 more sources

Multimodal machine learning for surgical decision support in epilepsy: Current evidence and translational gaps

Epilepsia, EarlyView.
Abstract Objective This systematic review synthesizes evidence on multimodal machine learning (ML) decision support systems for epilepsy surgery focusing on postsurgical outcome prediction, with emphasis on methodological quality and implications for clinical practice.
Mattia Mercier, Luca de Palma, Nicola Specchio   +2 more
wiley   +1 more source