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Recording straight men where their eyes veer when they view female pictures is encoding objectification and sexualization of women in social media @Twitter No one asks whose eyes are being tracked to record saliency. #ai #biashttps://twitter.com/ricangius/status/1307782165724356614 …
This was my earlier tweet on #AI deciding to focus on women's beasts rather than face. Most likely because they are collecting eye tracking data mostly from straight menhttps://twitter.com/animaanandkumar/status/1307687605740371975?s=21 …
I always look into women’s eyes they are the door to the soulpic.twitter.com/RQIrWeGEcf
AI should not be enabling objectification of women by encoding it. If eyes are glancing at the wrong feature, please close them (remove from data set). Objectively arriving at the wrong answer doesn’t make it right.
The datasets with saliency g.t. contain eye tracking of 20+ person viewing same stimuli in free-viewing paradigm and heatmaps are being created. For instance MIT saliency benchmark, Judd et al. 2012: ”39 observers (age range 18-50 years) participated in our eye tracking study”
I think the problem is complicated. Even when we find half male/female, equidistributed ethnicity. Our attention (also decisions) is very complicated not only gender or race is underlying but also socioeconomic background, education, family, and so on...
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