4 ms·

But, isn't "extrapolating physical appearance from incomplete data" the entire point of this project?

• GolDDranks 6y ago
  It is, but the criticism is that it's easy to misunderstand and/or skip over the "incomplete" part, and get a wrong conclusion that the results are more accurate than they actually are.
• frereubu 6y ago
  My understanding of the original point is that ML models are trained on a data set. If you train the model on a data set that is only made up of white faces, the results will be whiter than if you train it on a data set that is made up solely of black faces. They said they'd like to know the makeup of the data set that the model is trained on to more fully understand how the results were produced.
• darkerside 6y ago
  But there was no attempt made to account for the incompleteness of the data in this particular known way.