Abstract

This paper explores the pivotal role of trust in the widespread application of Artificial Intelligence (AI) across various domains. We review AI applications in sectors like energy, healthcare, and autonomous vehicles and discuss the crisis of human trust they face. This paper introduces a novel framework that delineates the relationship between AI transparency and user trust, highlighting specific industry applications. Through a systematic review of recent literature, we first delve into factors such as emotional response, acceptance, transparency, accuracy, and interpretability that shape human trust in AI. We then underscore the necessity of ethical AI practices and highlight the importance of regulatory measures to keep pace with technological advancements. Finally, we propose strategic measures for maintaining trust in AI, focusing on stringent regulation, ethical authorization, and effective human-AI cooperation, thereby contributing to the ongoing discourse on AI trust.

Department(s)

Electrical and Computer Engineering

Second Department

Computer Science

Comments

Defense Advanced Research Projects Agency, Grant FA8650-18-C- 7831

Keywords and Phrases

artificial intelligence; decision-making; ethics; regulation and policy; trustworthiness

International Standard Serial Number (ISSN)

2768-1890; 2832-6547

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Jan 2024

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