[HTML][HTML] What factors contribute to the acceptance of artificial intelligence? A systematic review

S Kelly, SA Kaye, O Oviedo-Trespalacios - Telematics and Informatics, 2023 - Elsevier
Artificial Intelligence (AI) agents are predicted to infiltrate most industries within the next
decade, creating a personal, industrial, and social shift towards the new technology. As a …

AI in marketing, consumer research and psychology: A systematic literature review and research agenda

MM Mariani, R Perez‐Vega, J Wirtz - Psychology & Marketing, 2022 - Wiley Online Library
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 …

A unifying review of deep and shallow anomaly detection

L Ruff, JR Kauffmann, RA Vandermeulen… - Proceedings of the …, 2021 - ieeexplore.ieee.org
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 …

What do we want from Explainable Artificial Intelligence (XAI)?–A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research

M Langer, D Oster, T Speith, H Hermanns, L Kästner… - Artificial Intelligence, 2021 - Elsevier
Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …

To trust or to think: cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making

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 …

The roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare services

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 …

[HTML][HTML] Trustworthy artificial intelligence

S Thiebes, S Lins, A Sunyaev - Electronic Markets, 2021 - Springer
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 …

Customer experiences in the age of artificial intelligence

N Ameen, A Tarhini, A Reppel, A Anand - Computers in human behavior, 2021 - Elsevier
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 …

The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers

M Langer, RN Landers - Computers in Human Behavior, 2021 - Elsevier
Advances in artificial intelligence are increasingly leading to the automation and
augmentation of decision processes in work contexts. Although research originally generally …

Human trust in artificial intelligence: Review of empirical research

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 …