Skip to 0 minutes and 12 seconds Teaching AI, if we’ve got female students it allows them to include the female and the male approach, rather than a constantly a male approach. I think Huma mentions that when you got classes that are all male we move towards a more aggressive approach to AI but if we have a more balanced class it might be less aggressive and more applications rather than this idea of robots that are going to be in the military or are going to kill us all. We look for more applications that are more beneficial to society, you know, the medical applications, the autonomous cars type applications and of course we might get away from the stereotypes you know, all nurses are women, all receptionists are women.
Skip to 0 minutes and 54 seconds So, we’ve got these, and it can direct how we want our robots to look because we’ve got all this, do we want robots to you know, look like humans or do we want the in-between or do we want little animals. So, maybe there might be a lesser saying our robot has to be female, our robot has to be male or we can have sort of a more detailed, a more culturally representative robot, rather than one that’s based on male stereotypes or whatever.
The need for women in AI
In the following video, Mark Elshaw talks about the importance of female students in AI.
Discuss Mark Elshaw’s views on whether or not more female students in AI enhances the learning for male students.
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