The deployment of artificial intelligence (AI) technologies has shown great potential for harm, especially for racialized women, non-binary people, and marginalized groups in the Global South. In such a scenario, how can we decolonize and depatriarchalize AI?
Media Release: Decolonising the internet – How Artificial intelligence shapes our world – MEDIA MONITORING AFRICA mediamonitoringafrica.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from mediamonitoringafrica.org Daily Mail and Mail on Sunday newspapers.
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Today critics charge that artificial intelligence (AI) feeds on biased datasets, amplifying the existing anti-female biases of our societies, and that AI is perpetuating harmful stereotypes of women as submissive and subservient. Is it any wonder when only 22% of AI professionals globally are women?
On International Women’s Day (8 March), UNESCO and the World Economic Forum joined forces to host an online panel on gender equality and women’s leadership in Artificial Intelligence. This timely round-table brought together a range of leading female voices in tech from around the world to confront the deep-rooted gender imbalances skewing the development of artificial intelligence. More than 60,000 viewers participated in the digital event. The event was moderated by Natashya Gutierrez, Editor-in-Chief of VICE Asia.
Girl Trouble: Breaking Through Bias in AI
01/03/2021
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UNESCO and the World Economic Forum join forces to host an online panel on gender equality and women s leadership in Artificial Intelligence
from 15h-17h CET on 8 March, International Women s Day. Vice Magazine s Asia Editor-in-Chief Natashya Gutierrez will moderate. Immediately following the discussion, there will be a media Q and A.
The Fourth Industrial Revolution is well underway, and current trends in AI risk setting gender equality back decades. This timely panel brings together a range of leading female voices in tech from around the world to confront the deep-rooted gender imbalances skewing artificial intelligence design. It will tackle: