Author ORCID Identifier
Date of Award
5-5-2019
Degree Type
Dissertation
Degree Name
Executive Doctorate in Business (EDB)
Department
Business
First Advisor
Dr. Nathan Bennett
Second Advisor
Dr. Charlotte Alexander
Third Advisor
Dr. Aaron Baird
Abstract
Advances in technology are traditionally seen as beneficial to society. According to the MIT Technology Review article “How Technology is Destroying Jobs,” this was the case until the year 2000 (Rotman, 2013). Previous research (e.g.,Walter & Lopez, 2008) has shown a relationship between perceived threat to professional autonomy and intention to use technology among physicians. This study expands the scope of highly-skilled, well-educated professionals to consider the perceptions of artificial intelligence held by physicians and lawyers and the relationship these perceptions have with perceived job displacement and perceived impact to professional autonomy. The purpose of this quantitative research study was to make an empirical contribution to the body of knowledge studying job displacement and professional autonomy by presenting the findings of survey data from 75 physicians specializing in radiology and 75 lawyers specializing in contract, transactional, and mergers and acquisitions law in the United States. Survey results suggest that physicians, for the most part, perceive artificial intelligence as a job aid; whereas, the majority of lawyers perceive that artificial intelligence will have a neutral impact on their jobs. Practical implications of the survey results are to provide education for lawyers regarding the benefits of using artificial intelligence for contract review and creation, e-discovery, fraud detection, and due diligence performance. For physicians, who are more comfortable with the idea of using artificial intelligence in their work, more applications for human plus machine partnerships should be further explored.
DOI
https://doi.org/10.57709/14336586
Recommended Citation
Helsten, Jessica Louise, "Job Aid or Job Slayed? The Perceived Impact of Artificial Intelligence on Medical and Legal Work." Dissertation, Georgia State University, 2019.
doi: https://doi.org/10.57709/14336586