> We want to take this work a step further by inviting and incentivizing the community to help identify potential harms of this algorithm beyond what we identified ourselves.

What more needs to be done here? Twitter got caught out with bias in their image cropping algorithm, and now they want people to further elaborate on how/why this is?

> For this challenge, we are re-sharing our saliency model and the code used to generate a crop of an image given a predicted maximally salient point and asking participants to build their own assessment.

Seems like a very exhaustive endeavour just to point out algorithmic bias and re-iterate what went wrong, but in more detail.