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Welcome to my blog I'm going to write about what is Cyberfeminism and talk of Kirti Sharma on How tobkeep women bias out of AI and talk of Robin Hauser on Can we protect AI from our biases. This task is given by Dr. Dilip Barad click here to learn more about this.
- What is Cyberfeminism
Social and artistic practices on the net with feminist ideological content. Learn more in: Collaborative and Open Education by Interdisciplinary Women's Networks: FemTechNet and Feminist Pedagogies in Digital Education.
Feminist movement interpreting the evolution of cybernetics as allowing the development of a culture in which inequalities are eradicated and traditional gender relations and stereotypes are defied (for instance, through the experimentation with gender identities or the creation of sisterhood networks on the Internet), empowering women and marking a shift away from their traditional symbolic representation as technologically ignorant. Learn more in: From Digital Divides to Digital Inequalities.
Discipline within feminism that sees cyberspace and virtual reality as neutral realms in terms of gender. This school of thought visions a society beyond gendered bodies where women can communicate and act outside the restrictions imposed by patriarchal societies. Learn more in: Gender, Body, and Computing Technologies in the Science-Fiction Film.
Cyberfeminism: Artificial Intelligence and the Unconscious Biases
Cyberfeminism appeared in the 1980s and founded on the ideas post-humanist feminist thinker Donna Haraway expresses in her A Cyborg Manifesto. In this manifesto, she lays the groundwork for the concept of the internet being a revolutionary tool to overthrow patriarchy, destroy the existing gender binary and achieve feminist liberation. She sees the internet as a new neutral space women need to ally with and that needs to be shaped by women in a way that will allow them to overthrow the existing social order.
1. Kirti Sharma: How to keep human bias out of AI?
We see this everywhere. This media panic that our robot overlords are taking over. We could blame Hollywood for that. But in reality, that's not the problem we should be focusing on. There is a more pressing danger, a bigger risk with AI, that we need to fix first.
When you work in technology and you don't look like a Mark Zuckerberg or Elon Musk, your life is a little bit difficult, your ability gets questioned.
Here's just one example. Like most developers, she often join online tech forums and share my knowledge to help others. And she've found, when she log on as myself, with my own photo, my own name, she tend to get questions or comments like this:
"What makes you think you're qualified to talk about AI?" "What makes you think you know about machine learning?"
So, as you do, she made a new profile, and this time, instead of her own picture, she chose a cat with a jet pack on it. And she chose a name that did not reveal my gender. You can probably guess where this is going, right? So, this time, she didn't get any of those patronizing comments about my ability and she was able to actually get some work done. And it sucks, guys. She've been building robots since she was 15, she have a few degrees in computer science, and yet, she had to hide my gender in order for my work to be taken seriously.
Kirti Sharma very asked question that ,
Are men just better at technology than women?
Another study found that when women coders on one platform hid their gender, like myself, their code was accepted four percent more than men. So this is not about the talent. This is about an elitism in AI that says a programmer needs to look like a certain person. What we really need to do to make AI better is bring people from all kinds of backgrounds. We need people who can write and tell stories to help us create personalities of AI. We need people who can solve problems. We need people who face different challenges and we need people who can tell us what are the real issues that need fixing and help us find ways that technology can actually fix it. Because, when people from diverse backgrounds come together, when we build things in the right way, the possibilities are limitless.
2. Robin Hauser: Can we protect AI from our biases?
Robin is the director and producer of cause‐based documentary films at Finish Line Features, Inc. and Unleashed Productions, Inc. As a business woman, long time professional photographer and social entrepreneur, Robin brings her leadership skills, creative eye and passion to her documentary film projects. Her artistic vision and experience in the business world afford her a unique perspective on what it takes to motivate an audience. Her most recent award‐winning film, CODE: Debugging the Gender Gap, premiered at Tribeca Film Festival 2015, and has caught the eye of the international tech industry and of policy makers and educators in Washington, DC and abroad. Robin is currently directing and producing bias, a documentary about unconscious bias and how it affects our lives socially and in the workplace.
As humans we're inherently biased. Sometimes it's explicit and other times it's unconscious, but as we move forward with technology how do we keep our biases out of the algorithms we create? Documentary filmmaker Robin Hauser argues that we need to have a conversation about how AI should be governed and ask who is responsible for overseeing the ethical standards of these supercomputers. "We need to figure this out now," she says. "Because once skewed data gets into deep learning machines, it's very difficult to take it out."
Thank you !
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