The Role of Artificial Intelligence in Computational System Automation

Authors

  • Quinn Lewis PhD
  • Riley Moore PhD
  • Dana Clark PhD

Keywords:

artificial intelligence, automation, machine learning, process optimization, ethical considerations

Abstract

This article examines the role of artificial intelligence (AI) in automating computational systems. It discusses how AI technologies can streamline processes, reduce manual intervention, and enhance system efficiency. The study also explores the challenges and ethical considerations of implementing AI in automation, providing guidelines for responsible AI integration.
This is a preliminary version. To read the full version of the article, please purchase a subscription.

Author Biographies

Quinn Lewis, PhD

PhD
University of Copenhagen
Nørregade 10, 1165 København, Denmark

Riley Moore, PhD

PhD
National Autonomous University of Mexico
Av. Universidad 3000, Ciudad Universitaria, Coyoacán, C.P. 04510, Mexico City, Mexico

Dana Clark, PhD

PhD
Cairo University
Cairo University Rd, Oula, Giza District, Giza Governorate 12613, Egypt

References

KUMAR, Nitin; KATARIA, Vipin. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.

Downloads

Published

2024-12-26

Issue

Vol. 2 No. 4 (2024)

Section

Articles