Research Paper
Artificial Intelligence Attitudes Inventory (AIAI): Development and Validation Using Rasch Methodology
About this item
- Title
- Artificial Intelligence Attitudes Inventory (AIAI): Development and Validation Using Rasch Methodology
- Content partner
- Auckland University of Technology
- Collection
- Tuwhera
- 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. A total of 96 items—drawn from reworded robot-related scales and newly developed items to reflect AI-specific themes—were administered to a sample of 604 adults from the general population of the Unite...
- Format
- Research Paper
- Research format
- Journal article
- Date created
- 2025-06-10
- Creator
- Krägeloh, Christian U / Melekhov, Vladimir / Alyami, Mohsen M / Medvedev, Oleg N
- URL
- http://hdl.handle.net/10292/19887
- Related subjects
- 5203 Clinical and Health Psychology / 52 Psychology / Machine Learning and Artificial Intelligence / Generic health relevance / 3 Good Health and Well Being / 1701 Psychology / 1702 Cognitive Sciences / Social Psychology
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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. / http://creativecommons.org/licenses/by/4.0/
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Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 04 October 2025, and updated 17 March 2026.
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