Background
As artificial intelligence (AI) based tools become a more prevalent part of the work taking place in health and healthcare settings, students preparing for health profession roles will be asked with increasing frequency to adopt and integrate these tools into their developing knowledge and skills-sets. Because of this, developing an understanding of levels of AI acceptance, and the factors that play into that acceptance will be essential for supporting individuals training for health workforce roles and their collaborative work within and across disciplines.
Purpose
This paper describes the methodology utilized to create and then validate the Artificial Intelligence Acceptance Scale for Interprofessional Education (AAIPE). This validated scale is intended to measure health sector student levels of acceptance of artificial intelligence as a part of their workplace roles and responsibilities.
Method
The AAIPE scale was utilized at the conclusion of multi-discipline interprofessional education activity (N = 161).
Results
Analysis of the AAIPE results indicated moderate-to-high levels of internal consistency for scale items. Student participant AAIPE scores indicated neutral-to-moderately positive levels of acceptance overall without significant difference between students from different health sector academic programs.
Conclusions
This research uncovered lower levels of student acceptance of artificial intelligence's influence on professional ethics and AI's influence on role clarity. Higher levels of acceptance relating to AI as an evolving component of health sector work were also found. A discussion of these results relating to interprofessional education and practice is conducted.
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