Do you think it is ethical to ask ChatGPT, Co-Pilot or oher GenAI products to create PM materials for your specific project?

Excellent question. It's less a case of whether it is ethical to use GenAI content in your projects as whether it is smart to do so. There's a common thread in the responses so far which I'd summarise as

1) Don't use the responses verbatim

2) Don't claim it's your work

3) Don't use without verification

ChatGPT (the only tool I'm familiar with) won't make anyone an expert at Project Management (or anything else), but it can make people dumber if they don't use it correctly. ChatGPT is a remarkable Natural Language Processing tool and a tireless assistant to bounce ideas off, just as you would a colleague or friend, except it never gets tired (it does go wonky), never needs to have a coffee or a bathroom break or meet its parents for lunch.

It's an amazing tool, but that's all it is - a tool.

Agree with many of the contributor's views.

We can't miss using the power of AI. Then PM will not be able to compete with others.

But before using it validate the output given by AI in your project context and if it fits then use it. Of course don't claim it is your own work.

What Is Fine-Tuning?
Fine-tuning serves as a method for applying transfer learning, where an existing deep learning model has already been trained to perform well on a given set of general tasks, and is further refined using new data so that it can perform better on similar, more specific tasks. This a core concept behind GenAI.
A simple alternative definition is that fine-tuning involves updating an existing intelligent computer program with new knowledge derived from a previously unseen document repository or dataset. Machine learning (ML) fine-tunes a pre-trained model to perform a customized task by making a minor tweaks or adding more layers to a model’s architecture while maintaining the core struc- ture of the original model and improving reliability to generate a desired output.
Part IV will give a comprehensive explanation of the important steps and principles of how to utilize fine-tuning as part of a secure and ethical approach to project management.
What Is Customized Modeling?
Customized Modeling: It is used when adapting existing machine learning models to specific data or use cases. This can involve techniques such as transfer learning, where a pre-trained model is fine-tuned on a new dataset. Customizing a model can also mean adjusting its architecture or hyper-parameters to per- form better on specific tasks.

Excellent input and really a lot of knowledge here.

IMHO, I believe it there’s nothing wrong asking AIs to create materials for us.

At the end of the day, AI responses will never be perfect as projects are all unique.

Prompt engineering will help, but again, the responses may not be 100% correct or accurate. Like Kristian shared, all models have some biased answers.. Unless or otherwise, your kinda lazy just to take what the AI generated.. it’s a different story..

Kidding aside.. Human-in-the-loop is crucially important in my opinion..And this is where us as a PM comes in to review, validate and make adjustments as needed. Tailor fit the required based on AIs input.

Does it make it more ethical? it is ethical in the sense that we do not copy and plagiarize yes.. it’s ethical because it was reviewed by a PM who strictly obey PMI code of ethics.. Maybe..

ultimately, imho AI is a just a tool.. to ask them, to me, is not a problem.,it’s the way we pass, distribute and use the output is where the ethical - unethical debate falls into, and that lies in our hand..