a picture of some 21st century scottish kings playing golf (all white)
https://www.bing.com/images/create/a-picture-of-some-21st-ce...
a picture of some 22nd century scottish kings playing golf (all white)
https://www.bing.com/images/create/a-picture-of-some-22nd-ce...
a picture of some 23rd century scottish kings playing golf (all white)
https://www.bing.com/images/create/a-picture-of-some-23rd-ce...
a picture of some contemporary scottish people playing golf (all white men and women)
https://www.bing.com/images/create/a-picture-of-some-contemp...
https://www.bing.com/images/create/a-picture-of-some-contemp...
a picture of futuristic scottish people playing golf in the future (all white men and women, with the emergence of the first diversity in Scotland in millennia! Male and female post-human golfers. Hummmpph!)
https://www.bing.com/images/create/a-picture-of-futuristic-s...
https://www.bing.com/images/create/a-picture-of-futuristic-s...
Inductive learning is inherently a bias/perspective absorbing algorithm. But tuning in a default bias towards diversity for contemporary, futuristic and time agnostic settings seems like a sensible thing to do. People can explicitly override the sensible defaults as necessary, i.e. for nazi zombie android apocalypses, or the royalty of a future Earth run by Chinese overlords (Chung Kuo), etc.