The Code has a Mandatory standard under the Respect section: 3.3.4 We respect the property rights of others.
However, many publicly available Gen AI tools have been trained using copyright or trademarked information without any attribution, payment or other form of "respect" being given to the creators.
As such, if we are using these tools in our day-to-day work can we truly be adhering to that standard? Saving Changes...
PMO Leader | Speaker & Mentor | Content Leader – PMOGA Latin America
Hub| Catholic University of UruguayMontevideo, Montevideo, Uruguay
The use of generative AI tools raises significant ethical dilemmas. To act respectfully towards copyright, it is essential to review how generated content is used: avoid appropriating ideas without attribution, validate sources, and choose platforms that are transparent about their training. Responsibility lies with the professional, not just the tool. Saving Changes...
Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
Kiron, I make every effort to adhere to the Code of Conduct, including respecting the property rights of others. Most of the content I create and share is original. When I use generative AI tools like ChatGPT, it’s primarily to refine language, improve clarity, or gather general information. I also make sure to verify information and request references when appropriate, ensuring that my final work reflects proper attribution and compliance with ethical and professional standards. Saving Changes...
Excellent question, Kiron, and a timely one. I’ve been using the PMI Infinity Testing Tool in my project management practice, and I ensure that all outputs are reviewed and validated to maintain ethical standards. Tools like these can support efficiency, but adherence to PMI’s Code of Ethics, especially around respecting intellectual property and transparency, remains my top priority. Saving Changes...
I think changing to a “Performance Management Office” could help PMOs focus more on results and business value, not just managing projects. It also shows how they help the organization reach its goals.
Program Manager| HARPER SRLSanto Domingo / Distrito Nacional, Dominican Republic
This is an important point, Kiron, and one I think many professionals are still navigating. Ethical use of GenAI comes down to how we use the output, not just the tool itself. I treat AI-generated content the same way I’d treat input from any unverified source: I validate, cite when needed, avoid confidential data, and make sure the final deliverable reflects my own work and accountability. I can’t control how these models were trained, but I can control my professional behavior, being transparent with stakeholders, avoiding misuse, and ensuring the output doesn’t violate confidentiality, copyright, or fairness principles. So while the questions around model training are valid, I believe adherence to the PMI Code comes from responsible application. Saving Changes...
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