Gender & AI

tech[inclusive]
tech[inclusive]
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Gender is an innate part of human existence. It is an expression of ourselves and our culture. Gender, however, is not innate to our creations—that’s on us. When looking at the Artificial Intelligence technology that exists today, a pattern begins to form. We have a tendency to apply female gender to AI devices that act as assistants, and male to AI with “independent” characteristics—think Siri vs. Watson. We’ve also translated non-gendered languages to have gender, and allowed our conversational AI to adopt gendered biases. How are these gender adaptations affecting our society? Is it for the best? Or are there ways to prevent harmful human gender biases from impacting AI, so that we may have a more equal future?

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ABOUT THE PRESENTER:
Meg Green is a Senior UX Designer at Thomson Reuters. They are inspired by the intersection of humanity & technology, constantly searching for how we can use tech for the greater good, rather than the status quo. You can find their twitter at @ grmeg for a more chaotic and personal perspective on their brand.

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At Atomic Object (https://atomicobject.com/), our passion is to build great software and find better ways of doing it. We were early pioneers and continue to innovate with agile software development practices such as pair programming and test-driven, iterative development. We are at the forefront of integrating user experience (UX) design with the agile development process.

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