Posted on 04/11/2023 9:39:47 AM PDT by devane617
Under the hotly debated impacts of generative Artificial Intelligence (AI) lies the deeper problem of biased data teaching AI. Perhaps now more than ever, with growing numbers of people and organizations turning to tools such as ChatGPT to write their essays, legal briefs, or make critical decisions, the challenge of algorithmic bias and injustice built into AI systems is urgent.
While racial and gender discrimination are often cited among harms resulting from bias in AI, broader and interrelated areas of impact include job loss, privacy violations, health care discrimination, political polarization, and the spread of disinformation.
"AI is predominantly a white and male domain," says Waterloo's Dr. Carla Fehr, "and there is a pressing need for work on race, gender, disability, and social issues related to AI."
Fehr is an associate professor of philosophy and holds the Wolfe Chair in Scientific and Technological Literacy. In 2021 she convened the Feminism, Social Justice and AI workshop that invited scholars from her own field of feminist philosophy to collaborate with other experts including computer scientists, engineers, economists, policy makers, and industry experts. Their challenge was to explore ways to foster the responsible development and use of AI.
"We have such spectacular progress in terms of technological growth. And there's a lot of really interesting work being done on social theory and ethics around AI. But for either of these fields to make a positive difference in the world, they need to talk to each other," says Fehr.
(Excerpt) Read more at phys.org ...
What would it mean to have feminist AI?
Nag nag nag
Your last line gave the clue. A female AI — bitchin and moanin all the time.
Most females are under AI. It seems.
Question: If the Feminist AI played Test Drive 64, would it be able to back the car?
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