Yeah, I noticed that. While it's possible this is the result of the machine learning algorithm implicitly picking up a male bias in the data set that causes it

Yeah, I noticed that. While it's possible this is the result of the machine learning algorithm implicitly picking up a male bias in the data set that causes it to rank men more highly in terms of importance, I don't know how likely that is in practice. Maybe the explanation is as simple as the man taking up more pixels, or a bias toward lighter colors (like the man's white & blue shirt) while black colors (like the woman's clothing) are more likely to be considered unimportant background. Maybe the algorithm considered both approximately equally important and the result was essentially a coin flip. Regardless, I agree that it's not a great look when the caption on that example talks about how AutoFlip "detects the subjects of interest" and "avoids cropping off important visual content". It's definitely not sending the intended message.