Cyber Feminism

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This is response blog on Cyber feminism. This task given by Dr. Dilip Barad for more information about this task click here

Cyber feminism is a term coined in 1994 by Sadie Plant, director of the Cybernetic Culture Research Unit at the University of Warwick in Britain, to describe the work of feminists interested in theorizing, critiquing, and

exploiting the Internet, cyberspace, and new-media technologies in general. The term and movement grew outo f “third-wave” feminism, the contemporary feminist movement that follows the “second-wave” feminism of the1970s, which focused on equal rights for women, and which itself followed the “first-wave” feminism of the early  20th century, which concentrated on woman suffrage. Cyber feminism has tended to include mostly younger,technologically savvy women, and those from Western, white, middle-class backgrounds. The ranks of cyber feminists are growing, however, and along with this increase is a growing divergence of ideas about what constitutes cyber feminist thought and action.Prior to the advent of cyber feminism, feminist study of technology tended to examine technological developments as socially and culturally constructed. One major argument was that technology has been positioned as part of masculine culture something that men are interested in, good at, and therefore engage in more than women. Even though women throughout history have been active in developing new technologies,feminists have argued that technology has still been looked upon as a masculine creation. For example,although women had been involved in the creation and development of the computer, their contributions were largely marginalized, and their participation often ignored or written out of history. Therefore, feminists such as Judy Wacjman, a professor of sociology at the Australian National University in Canberra, and Cynthia Cockburn, an independent scholar and activist in London, argued that technology needed to be continually interrogated and re-conceptualized, and that women needed to become more active in technological areas as well.Also pointing the way for cyber feminism was the work of Donna Haraway, a professor in the History of Consciousness program at the University of California at Santa Cruz. In her groundbreaking essay “A Manifesto for Cyborgs,” she argues for a socialist, feminist cyborg that challenges the singular identities and “grids of control” that work to contain women and other marginalized groups. Haraway agreed that women needed to become more technologically proficient, better able to engage with the “informatics of domination” and challenge these systems. But Haraway also and importantly argued that women would need to be savvy and politically aware users of these technological systems; simply using them was not enough.

cyber feminism itself, a growing area of thought and study, is not a unified set of ideas concerning women and new technologies. Cyber feminists explore many areas of theory: that women are naturally suited to using the internet, as both share important commonalities; that women can best empower themselves by becoming fluent in online communication and acquiring technological expertise; and that women would do best to study how power and knowledge are constructed in technological systems, and how and where feminists can disrupt and change these practices for the betterment of all members of society.

Video 1 Kirti Sharma

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. So the  question is : How many decisions have been made about you today by AI? And how many of these were based on your gender, your race or your background?

Algorithms are being used all the time to make decisions AI isn't just being used to make decisions about what products we want to buy or which show we want to binge watch next.

These are some real decisions that AI has made very recently, based on the biases it has learned from us, from the humans. AI is being used to help decide whether or not you get that job interview; how much you pay for your car insurance; how good your credit score is; and even what rating you get in your annual performance review. But these decisions are all being filtered through its assumptions about our identity, our race, our gender, our age. How is that happening?

AI is helping a hiring manager find the next tech leader in the company. So far, the manager has been hiring mostly men. So the AI learns men are more likely to be programmers than women.it similar like Chirman Or MD sir it is Women also Chairperson or MD of compnies. 

Most Important thing she discuss it is very near to us then out of over focus is like Siri, Alexa or even Cortana? They all have two things in common: one, they can never get my name right, and second, they are all female. They are designed to be our obedient servants, turning your lights on and off, ordering your shopping. You get male AIs too, but they tend to be more high-powered, like IBM Watson, making business decisions, Salesforce Einstein or ROSS, the robot lawyer. So poor robots, even they suffer from sexism in the workplace.The good news about AI is that it is entirely within our control. We get to teach the right values, the right ethics to AI. So there are three things we can do. One, we can be aware of our own biases and the bias in machines around us. Two, we can make sure that diverse teams are building this technology. And three, we have to give it diverse experiences to learn from.

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 to think very carefully what we teach machines, what data we give them, so they don't just repeat our own past mistakes.

Video-2 Robin Hauser

She was documentary filmmaker she love  Job to learn new things every human has a bias and sometimes bias isn't bad things then she give the example Dog Survival technique but if it interfere with the way that interact with society our unconscious bias lead us to make snap judgement or assumptions computers are more intelligent AI is not super solution to solve for human bias in fact AI is already as biased as humans. AI is meant to interact with human behavior then it runs into losing control of the machine. She gives the example of Microsoft and Tweeter. 

Engineers control data input bias is being Programmed into Al Intelligent machines rely on data fed to them to train algorithms.

Example

-Different between cat & Dog

-Search Engines.

-African American.

-Translation Software

-Gender bias.

Doctor most often associated with male Pronouns just like the word nurse is most often associated with she or her if any one try to  translate sentence related to doctor and nurse computer automatic translate doctor as him and nurse as she like if we are listen MD more like male Pronouns and Just like the word receptionist more Like female. 

She give other interesting example Software of Bank, Credit score Race inequality. In Ending of Talk she was talking about who is governing AI Responsible For ethical standards of supercomputers We want artificial intelligence to reflect Society as it exists today Or as an ideal equaitable society of tomorrow.

(Words-1236) 

Thank you…