Journal of Innovations

Vol. 1, Issue 3

Acceptance Levels of Individuals Toward Machine Learning: A University Case Study 

AUTHOR(S) 

James Wolverton

ABSTRACT 

This paper aims to demonstrate the extent of public distrust in machine learning and, by extension, artificial intelligence (AI). However, despite initial assumptions, a systematic survey conducted within a university community, including faculty, staff, and students, with a response rate of over 86%, did not unequivocally support this hypothesis. While some resistance to machine learning exists, it is not as widespread or strongly negative as previously assumed. The survey reveals that many individuals not only possess familiarity with machine learning but also feel comfortable with it. The author believes that, alongside other factors, the perceived benefits and convenience that machine learning offers in daily life, both to individuals and society, contribute to its higher acceptance. Getting insight of the survey findings holds value for managers involved in the development and marketing of machine learning-related technologies and products. 

DOI

https://doi.org/10.62470/4c237109

CITE THIS ARTICLE 

Wolverton, J.  (2023). Acceptance Levels of Individuals Toward Machine Learning: A University Case Study. Journal of Innovations. 1(3), 38-50. DOI: https://doi.org/10.62470/4c237109