Artificial Intelligence Attitudes Inventory (AIAI): Development and validation using Rasch methodology

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Title

Artificial Intelligence Attitudes Inventory (AIAI): Development and validation using Rasch methodology

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

With the rapid advancements in artificial intelligence (AI), it is vital to develop psychometrically sound measures of public attitudes toward this technology. The present study aimed to refine a pool of candidate items to create a concise yet robust inventory for assessing attitudes toward AI. Using a dataset of 604 participants from the general population of the United States, a pool of 96 candidate items was subjected to iterative Rasch analysis to reduce the number of items while ensuring...

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Format

Research paper

Research format

Journal article

Date created

2024

Creator

Krägeloh, Christian U. / Melekhov, Vladimir / Alyami, Mohsen M. / Medvedev, Oleg N.

URL

https://hdl.handle.net/10289/17845

Related subjects

psychology / artificial intelligence / attitudes / AIAI / psychometrics / Rasch analysis / 52 Psychology / 5205 Social and Personality Psychology / 44 Human Society / 3 Good Health and Well Being

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