Trust in Artificial Intelligence: Meta-Analytic Findings

Abstract

The present meta-analysis sought to determine significant factors that predict trust in artificial intelligence (AI). Such factors were divided into those relating to (a) the human trustor, (b) the AI trustee, and (c) the shared context of their interaction.

Document Details

• Document Type: Pub Defense Publication
• Publication Date: May 28, 2021
• Source ID: 10.1177/00187208211013988

Entities

People

• Alexandra D Kaplan
• J. Christopher Brill
• Peter Hancock
• Theresa T. Kessler

Organizations

• Air Force Research Laboratory
• Georgia Tech
• University of Central Florida

Tags

Readers

• Geospatial Intelligence and Artificial Intelligence Analytics
• Instructional Design and Training Evaluation.
• Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

• AI & ML
• AI & ML - DoD AI Strategy
• AI & ML - Neural Networks