Community Specialist| Project Management InstituteNewtown Square, PA, United States
AI is rapidly reshaping how we plan, collaborate, and deliver projects. The upcoming AI Community Day on 16 July 2025 will dive into the trends, tools, and real-world strategies project professionals need to know.
As we work to level up our AI skills, we want to hear from you:
What’s your biggest question or challenge when it comes to using AI in project management?
Whether you're already experimenting with AI tools or just starting to explore what's possible, share your thoughts below. Your questions might even help shape the conversation during the live webinar sessions! Saving Changes...
Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
Laura, as AI becomes more integrated into project management tools and workflows, my main concerns center around privacy and ethical use. With sensitive project data often being shared across platforms, it's critical to ensure that AI systems handle this data responsibly and transparently. I'm also concerned about how ethical considerations are factored into AI decision-making such as bias in automation, accountability for AI-driven insights, and the potential for replacing human roles without oversight. These are key areas I’d love to see addressed in real-world case studies or discussions during the webinar.
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1 reply by Anzhelika Khamaza
Jul 10, 2025 5:59 PM
Anzhelika Khamaza
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Double it! I definitely wouldn’t want to see any of our sensitive data end up anywhere outside of our projects either. We use Copilot in our company, and even though it’s tailored to our needs, there are still moments of doubt. At the end of the day, it’s still a machine, and if something were to malfunction, we could be exposed to serious risks.
Laura, as AI becomes more integrated into project management tools and workflows, my main concerns center around privacy and ethical use. With sensitive project data often being shared across platforms, it's critical to ensure that AI systems handle this data responsibly and transparently. I'm also concerned about how ethical considerations are factored into AI decision-making such as bias in automation, accountability for AI-driven insights, and the potential for replacing human roles without oversight. These are key areas I’d love to see addressed in real-world case studies or discussions during the webinar.
Double it! I definitely wouldn’t want to see any of our sensitive data end up anywhere outside of our projects either. We use Copilot in our company, and even though it’s tailored to our needs, there are still moments of doubt. At the end of the day, it’s still a machine, and if something were to malfunction, we could be exposed to serious risks.
For me, the biggest challenge is balancing AI efficiency with trust. AI can speed up scheduling, reporting, and risk analysis, but how do we ensure the data, assumptions, and outcomes are reliable enough to base project decisions on? I’d like to see more guidance on validation and governance frameworks for AI in PM.
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