Computer Vision News - August 2022

58 Women in Computer Vision So lots of collaborations and translational research. How could young Marwa leave such a warm, wonderful country like Egypt and go to cold countries far away - only for science? I'm still not used to the cold weather here. The short days, especially in the winter, are kind of depressing. The idea came because I did my Master's at the American University in Cairo, and may work was also related to computer vision and affective computing. I got fascinated by this field at that time, and I wanted to push my research. When I started my PhD, my research proposal was ready. I didn't apply to many universities. I just applied to Cambridge because I somehow was like, this is what I want to do, and let's see if I can do it. I come from a conservative family as well, so it wasn't easy to just go and live on my own and say, “ Bye-bye, I'm moving to the UK! ” I think for me, I was like, okay, I have the research idea. I really want to do that. So I applied, The idea that a model can tell a person you're depressed has lots of implications. We need to think about how accurate the models are. I won't say that a machine would make a diagnosis of the person. Maybe in the future, but I think that's part of the feeling that machines will not replace humans. There are lots of uncertainties about false positives and false negatives and the evaluation criteria. I am sure that you are fighting false positives and false negatives with all your might! Even the expert will not always be perfectly accurate.Forthiskindofworktobedeployed on a bigger level, the main thing would be lots of collaborations with people who are actually on the front line. I'm a computer scientist, but I read a lot on psychology and psychiatry because that's part of the work on these applications. I collaborate a lot with people thinking about all the ethical issues and how these interventions can be really useful to humans in the future…