Machines Learn a Biased View of Women | WIRED

Both datasets contain many more images of men than women, and the objects and activities depicted with different genders show what the researchers call “significant” gender bias. In the COCO dataset, kitchen objects such as spoons and forks are strongly associated with women, while outdoor sporting equipment such as snowboards and tennis rackets are strongly associated with men.