 This research paper examines the effects of certain AWJM parameters on the surface quality and vibration of machined magnesium alloys. The study found that higher skewness occurred at a lower abrasive flow rate, while higher average values of the skew roughness parameter were obtained at MA equals 8G slash S in the range of 60-140 mm slash min. Higher vibration values were also observed at MA equals 8G slash S. An artificial neural network, ANN, model was developed to predict the vibration and surface roughness of AZ91D magnesium alloy after water jet cutting. This model proved to be an effective tool for optimizing AWJM parameters. This article was authored by Katarzyna Baruchurbin, Arnuz Zagorski, Monika Kalish, and others.