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Talking to AI-Driven Project Management: Practical Strategies for Prompt Engineering and Ethical Integration
Abstract
The integration of Artificial Intelligence (AI) and Natural Language Processing (NLP) into project management has transformed how professionals approach planning, execution, and decision-making. Among these advancements, Large Language Models (LLMs) such as ChatGPT have emerged as powerful tools, enabling project managers to streamline workflows, improve collaboration, and derive actionable insights. This chapter, “Talking to AI: Prompt Engineering for Project Managers,” focuses on the critical skill of prompt engineering, which involves crafting precise, context-aware instructions to optimize the value of AI-generated outputs. Effective prompt engineering bridges the gap between human intent and AI capabilities, ensuring that responses are relevant, actionable, and aligned with project objectives. The chapter highlights how poorly structured prompts can lead to generic or irrelevant outputs, while well-designed queries can address key project needs, such as generating schedules, identifying risks, and automating stakeholder reports
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