As Artificial Intelligence (AI) technologies increasingly shape the field of engineering, ethical considerations are becoming essential for fostering responsible innovation. However, a validated instrument to assess attitudes toward Responsible AI, specifically in the engineering domain, is still missing to date. This study presents the development and validation of the Responsible AI Attitudes Specific to Engineering (RAISE) scale. After refining the item pool of a validated test instrument with expert input from the engineering domain, we conducted confirmatory factor analysis on data from 235 engineering students and professionals in Germany. The resulting 15-item scale measures engineers’ self-reported attitudes along three core Responsible AI dimensions: do-no-harm, transparency, and privacy. It demonstrates acceptable model fit, internal consistency, and measurement invariance across demographic groups. The RAISE scale can serve as a diagnostic and evaluative tool in engineering education and training programmes, helping to inform and assess efforts to foster Responsible AI engagement.
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Mirsch et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69a75bfcc6e9836116a244c5 — DOI: https://doi.org/10.5445/ir/1000190021
Marie Mirsch
Nils Knoth
Ben Schultz
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