  Artificial intelligence (AI) has been used to advance different fields, such
as education, healthcare, and finance. However, the application of AI in the
field of project management (PM) has not progressed equally. This paper reports
on a systematic review of the published studies used to investigate the
application of AI in PM. This systematic review identified relevant papers
using Web of Science, Science Direct, and Google Scholar databases. Of the 652
articles found, 58 met the predefined criteria and were included in the review.
Included papers were classified per the following dimensions: PM knowledge
areas, PM processes, and AI techniques. The results indicated that the
application of AI in PM was in its early stages and AI models have not applied
for multiple PM processes especially in processes groups of project stakeholder
management, project procurements management, and project communication
management. However, the most popular PM processes among included papers were
project effort prediction and cost estimation, and the most popular AI
techniques were support vector machines, neural networks, and genetic
algorithms.
