Personally, I am always finding fun new ways to cull my photos (not that I take many to begin with). E.g., for community event photos, I sometimes use rudimentary face detection (not recognition) to crop all of the faces so that I can keep track of who is in which photo and whether they look okay or awkward (sometimes those are the best!) in a particular shot. Methods like this don't detract from the creative process. In fact, they add to it by giving me the opportunity to see things in a different light.
I haven't found the time to read the paper, which is also linked in Google's blog post BTW, but when I do, I would be interested in the researchers' criteria for a well-exposed and acceptable photo and the algorithmic approach they took to select, render and retouch their images.
In sum, it is not only a learning process but having a blast experimenting, remembering the good times that I had at the event and seeing what others do with their images.