Results 121 to 130 of about 56,159 (288)
Journal of Clinical Nursing, EarlyView.ABSTRACT Aim To synthesise the available evidence on the effect of artificial intelligence in promoting positive nursing practice environments, exploring outcomes for professionals, clients, and institutions. Background Artificial intelligence has undergone significant advancements and shows great potential to transform nursing practice.
Soraia Cristina de Abreu Pereira +5 more
wiley +1 more source
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study
Nature CommunicationsArtificial intelligence (AI) systems substantially improve dermatologists’ diagnostic accuracy for melanoma, with explainable AI (XAI) systems further enhancing their confidence and trust in AI-driven decisions.
Tirtha Chanda +21 more
doaj +1 more source
Replication Package - From Research to Practice: A Survey of XAI Process Frameworks
, 2023 Anonymous
openalex +2 more sources
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, EarlyView.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 +4 more
wiley +1 more source
AI MagazineAbstractResearchers focusing on how artificial intelligence (AI) methods explain their decisions often discuss controversies and limitations. Some even assert that most publications offer little to no valuable contributions. In this article, we substantiate the claim that explainable AI (XAI) is in trouble by describing and illustrating four problems ...
Rosina O Weber +3 more
openaire +1 more source
Journal of Management Studies, EarlyView.Abstract With organizations increasingly relying on predictive artificial intelligence (AI) technologies for decision‐making, experts lose the authority to overrule AI‐generated decisions yet remain responsible for presenting them to clients. As experts depend on clients’ recognition and approval of decisions, this shift presents a critical disruption ...
Anne‐Sophie Mayer +2 more
wiley +1 more source
Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research [PDF]
, 2023 Susanne Hindennach +3 more
openalex +1 more source
A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention
Obesity Reviews, EarlyView.ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini +4 more
wiley +1 more source
E-XAI: Evaluating Black-Box Explainable AI Frameworks for Network Intrusion Detection
IEEE AccessThe exponential growth of intrusions on networked systems inspires new research directions on developing artificial intelligence (AI) techniques for intrusion detection systems (IDS).
Osvaldo Arreche +3 more
doaj +1 more source
XAI and Android Malware Models
Android malware detection based on machine learning (ML) and deep learning (DL) models is widely used for mobile device security. Such models offer benefits in terms of detection accuracy and efficiency, but it is often difficult to understand how such learning models make decisions. As a result, these popular malware detection strategies are generally
Maithili Kulkarni, Mark Stamp
openaire +2 more sources