This study is the first to provide an integrated view on the body of knowledge of artificial intelligence (AI) published in the marketing, consumer research, and psychology literature …
Deep learning approaches to anomaly detection (AD) have recently improved the state of the art in detection performance on complex data sets, such as large collections of images or …
Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …
Z Buçinca, MB Malaya, KZ Gajos - Proceedings of the ACM on Human …, 2021 - dl.acm.org
People supported by AI-powered decision support tools frequently overrely on the AI: they accept an AI's suggestion even when that suggestion is wrong. Adding explanations to the …
K Liu, D Tao - Computers in Human Behavior, 2022 - Elsevier
AI-based smart healthcare services are emerging as promising tools to improve efficiency and effectiveness of healthcare service delivery. This study aimed to examine the roles of …
Artificial intelligence (AI) brings forth many opportunities to contribute to the wellbeing of individuals and the advancement of economies and societies, but also a variety of novel …
Artificial intelligence (AI) is revolutionising the way customers interact with brands. There is a lack of empirical research into AI-enabled customer experiences. Hence, this study aims to …
Advances in artificial intelligence are increasingly leading to the automation and augmentation of decision processes in work contexts. Although research originally generally …
E Glikson, AW Woolley - Academy of Management Annals, 2020 - journals.aom.org
Artificial intelligence (AI) characterizes a new generation of technologies capable of interacting with the environment and aiming to simulate human intelligence. The success of …