Data Privacy and Security
PEER REVIEWED PAPER
By Junaid Mehboob
Pakistan
Abstract
Artificial Intelligence has almost become integral component of every field of study. In Project Management, Project teams are also using artificially intelligent technologies to improve their efficiency and effectiveness. With the growing use of such technology, moral issues related to security and privacy of users’ data are also concerned for users. This study focuses on moral considerations with the utilization of artificial intelligence (AI) focusing on security and privacy of data. Survey results show users are worried about the user’s data privacy and security and they consider project managers’ responsibility to ensure the moral usage of artificial intelligent technologies.
Key words: Artificial Intelligence (AI), Project Management (PM), Data Security, Data Privacy
Introduction
Background
Project management involves a lot of people, and a project manager’s daily routine includes managing and interacting with people. Effective project managers are people-focused and rapidly build productive working connections with their team members. Furthermore, to deliver effective projects, project managers and executives must pursue learning opportunities because project management (PM) is a skill-based profession. Project disaster results in the loss of time, finances, and resources, and project delivery and implementation success are vital to the business and widely acknowledged as a vital part of its strategy. Moreover, project failure could result in reputational expenses (Dempsey, M., Brennan, A., Holzberger, A., & McAvoy, J. ,2022).
Innovation is fueled by developments in emerging technology, particularly artificial intelligence (AI). They will compel us to acknowledge their speed, which will make it impossible to avoid using them in the process of juggling conflicting demands and completing projects successfully. The art and science of project management are combined. While the application of such standards, tools, and processes is an art, it is scientific to create a balance between all conflicting restrictions, such as knowledge of standards, tools, and techniques. Consequently, integrating the tools required for project planning and communication with mindfulness and meeting executive stakeholders’ demands for an acceleration with AI-driven management focused on process transformation, technology infrastructure, and product portfolios (Schrettenbrunnner, M. B., 2020)
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How to cite this work: Mehboob, J. (2026). Moral Implications of AI in Project Management: Data Privacy and Security, PM World Journal, Vol. XV, Issue IV, April. Available online at https://pmworldjournal.com/wp-content/uploads/2026/04/pmwj163-Apr2026-Mehboob-Moral-Implications-of-AI-in-PM.pdf
About the Author
Junaid Mehboob
Pakistan
Junaid Mehboob, PMP,PMI-RMP,PMI-ACP,LSSWB,LSSYB,LSSGB,LSSBB is an independent researcher specializing in project management and the implications of artificial intelligence within project environments. His work explores AI-driven decision support, agile project practices, risk management methodologies, Quality Management Frameworks, and data-based performance analysis. He is University of Hertfordshire graduate. He holds a strong academic foundation with an MS in Project Management, an MSc in Project Management, and a BS in Electrical Engineering.
Junaid is certified in multiple professional disciplines, including PMP, PMI-ACP, PMI-RMP, and Lean Six Sigma (White, Yellow, Green, and Black Belt). His research focuses on advancing modern project delivery approaches and integrating intelligent technologies to enhance project efficiency, resilience, and strategic outcomes. He can be contacted at ranajunaid93@gmail.com
