Algorithmic recommendations require clearer adult content oversight
"Machines mirror us" — that reflection is more troubling than we expected. As platforms tune their recommendation engines to maximize attention, those systems often amplify explicit adult content with little contextual judgment. We have watched innocuous searches spiral into feeds that normalize material meant for mature audiences. Age gates, user reports, and blunt filters routinely […]