Challenges of artificial intelligence in project management

Le résumé fourni par la source

Artificial Intelligence (AI) is rapidly reshaping the landscape of project management by introducing advanced capabilities in automation, forecasting, resource optimization, and intelligent decision-making. Its integration into project environments promises to enhance efficiency, reduce risks, and enable more data-driven strategies. From streamlining administrative processes through robotic automation to leveraging predictive analytics for anticipating project risks, AI is transforming how projects are conceptualized, planned, and executed. Despite its transformative potential, the implementation of AI in project management is not without significant challenges. These barriers are multifaceted, spanning technological, organizational, ethical, and human-centered dimensions. At a technical level, the effectiveness of AI systems is heavily dependent on access to high-quality, structured data an aspect where many organizations struggle. Moreover, AI’s reliance on data analytics and machine learning introduces concerns related to algorithmic transparency, bias, and explainability, all of which can undermine trust and accountability in project decisions.From an organizational perspective, resistance to change, lack of AI literacy among project professionals, and legacy infrastructure further complicate AI adoption. Many project teams are unprepared to integrate AI tools into existing workflows, leading to underutilization or outright rejection of these technologies. Additionally, the skill gap in AI-related competencies poses a major constraint, as project managers and team members often lack the technical knowledge required to effectively interpret or leverage AI-driven insights. Ethical considerations also play a critical role. Questions around data privacy, accountability, and the potential displacement of human roles must be carefully addressed to ensure responsible AI deployment. Legal and regulatory frameworks add another layer of complexity, particularly when AI tools are used for personnel evaluation or contractual decision-making. This paper explores these core challenges in detail, emphasizing the need for a strategic, inclusive, and ethically sound approach to AI integration in project management. Overcoming these obstacles is vital for unlocking the true potential of AI not just as a tool, but as a collaborative partner in delivering successful and future-ready projects.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.