[HTML][HTML] The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study

J Wanner, LV Herm, K Heinrich, C Janiesch - Electronic Markets, 2022 - Springer
Contemporary decision support systems are increasingly relying on artificial intelligence
technology such as machine learning algorithms to form intelligent systems. These systems …

Perceptions of fairness and trustworthiness based on explanations in human vs. automated decision-making

J Schoeffer, Y Machowski, N Kuehl - arXiv preprint arXiv:2109.05792, 2021 - arxiv.org
Automated decision systems (ADS) have become ubiquitous in many high-stakes domains.
Those systems typically involve sophisticated yet opaque artificial intelligence (AI) …

To use or not to use artificial intelligence? a framework for the ideation and evaluation of problems to be solved with artificial intelligence

T Sturm, M Fecho, P Buxmann - 2021 - scholarspace.manoa.hawaii.edu
The recent advent of artificial intelligence (AI) solutions that surpass humans' problem-
solving capabilities has uncovered AIs' great potential to act as new type of problem solvers …

[PDF][PDF] Adoption Barriers of AI: a Context-Specific Acceptance Model for Industrial Maintenance.

J Wanner, L Popp, K Fuchs, K Heinrich, LV Herm… - ECIS, 2021 - researchgate.net
Maintenance decision support systems can be equipped with artificial intelligence
capabilities. Artificial intelligence algorithms allow for automatically extracting patterns and …

Can you trust me? Using AI to review more than three decades of AI trust literature

C Knickrehm, M Voss, MC Barton - 2023 - aisel.aisnet.org
The ability of artificial intelligence (AI) to take on complex tasks can facilitate humans' life, but
also raise concerns about AI replacing the human workforce. Acceptance and prior trust are …

A Taxonomy of User-centered Explainable AI Studies

LV Herm, J Wanner, C Janiesch - 2022 - aisel.aisnet.org
The progress in the research field of machine learning is fast-paced and it is most noticeable
in terms of prediction performance. However, there seems to be a lack of understanding of …

Machine learning adoption based on the TOE framework: A quantitative study

A Zöll, V Eitle, P Buxmann - 2022 - ideas.repec.org
The increasing use of machine learning (ML) in businesses is ubiquitous in research and in
practice. Even though ML has become one of the key technologies in recent years …

On the Interplay of Transparency and Fairness in AI-Informed Decision-Making

J Schöffer - 2023 - publikationen.bibliothek.kit.edu
Using artificial intelligence (AI) systems for informing high-stakes decisions has become
increasingly pervasive in a variety of domains, including but not limited to hiring, lending, or …

Research on the Influence of Recommendation and Reward System on Customer Online Comment Behavior

W Liu, Z Fan, M Chen, X Xie - International Conference on Advanced …, 2023 - Springer
This article studies consumer online review behaviors based on recommendation reward
programs. It mainly studies the influence of different types of rewards in the recommendation …

[PDF][PDF] How Transparency Measures Can Attenuate Initial Failures of Intelligent Decision Support Systems.

C Matt, C Schlusche - ECIS, 2022 - researchgate.net
Owing to high functional complexity, trust plays a critical role for the adoption of intelligent
decision support systems (DSS). Especially failures in initial usage phases might endanger …