Lissette Indhira Pimentel Sosa
A brilliant and timely question because the risk of AI amplifying bias is not only technical, it’s ethical and cultural.
Yes, it’s possible to embed persistent ethical instructions within AI systems but, the true safeguard lies in the discipline of how we, as project leaders, govern those systems.
I like to think of this through a decision loop I use in my work called RCPCV™ (Recollect, Consult, Think, Communicate, Verify):
- Recollect: Gather data from transparent, verifiable sources, not from assumption or incomplete history.
- Consult: Engage diverse human perspectives, especially those affected by the decision, to surface hidden bias early.
- Think: Evaluate not only efficiency but also fairness, equity, and long-term impact.
- Communicate: Make the rationale, limitations, and uncertainty of AI-assisted insights explicit.
- Verify: Test decisions against evidence and the PMI Code of Ethics: Responsibility, Respect, Fairness, and Honesty.
Embedding this loop within AI checkpoints creates a practical ethical stage gate at every critical decision.
It keeps the human conscience active ensuring that AI remains not a replacement for judgment, but a reflection of it.
In short, ethical project management is human-centered AI governance.
The algorithm learns from data, but integrity must always learn from us.
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