This book presents a recent framework proposed to understand how attitudes towards artificial intelligence are formed. It describes how the interplay between different variables, such as the modality of AI interaction, the user personality and culture, the type of AI applications (e.g. in the realm of education, medicine, transportation, among others), and the transparency and explainability of AI systems contributes to understand how user's acceptance or a negative attitude towards AI develops. Gathering chapters from leading researchers with different backgrounds, this book offers a timely snapshot on factors that will be influencing the impact of artificial intelligence on societies.
Chapter 12 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
This book presents a recent framework proposed to understand how attitudes towards artificial intelligence are formed. It describes how the interplay between different variables, such as the modality of AI interaction, the user personality and culture, the type of AI applications (e.g. in the realm of education, medicine, transportation, among others), and the transparency and explainability of AI systems contributes to understand how user's acceptance or a negative attitude towards AI develops. Gathering chapters from leading researchers with different backgrounds, this book offers a timely snapshot on factors that will be influencing the impact of artificial intelligence on societies.
Chapter 12 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Christian Montag
Acceptance of AI AI Explainability Theory of Planned Behavior Technology Acceptance Model Measurement of Attitudes Virtual AI Assistants Interactive AI Systems Model of Personality Patients’ Acceptance of AI User Acceptance and Trust AI in Education Trust in Automated Driving Culture in Attitude Formation