To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts

Date

2022

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier BV

Abstract

Description

Citaciones: 205

Keywords

Computer science, Component (thermodynamics), Trustworthiness, Applications of artificial intelligence, Representation (politics), Position (finance), Public trust, Express trust, Artificial intelligence, Knowledge management

Citation

DOI

10.1016/j.techfore.2022.121763

URI

https://doi.org/10.1016/j.techfore.2022.121763
 https://andeanlibrary.org/handle/123456789/43152

Collections

Artículo Científico Publicado