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Artificial intelligence and the feminist decolonial imagination - Vimarsana News

Artificial intelligence and the feminist decolonial imagination

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?

After Roe vs Wade, healthcare data privacy fears grow worldwide - Vimarsana News

After Roe vs Wade, healthcare data privacy fears grow worldwide

From India to Chile, concern is growing over the sale and tracking of reproductive health data, and the risks for abortion seekers.

How AI systems undermine LGBTQ identity - Vimarsana News

How AI systems undermine LGBTQ identity

Access Now 6 April 2021 | 4:32 am Most of us interact with some sort of Artificial Intelligence (AI) system several times a day, whether it’s using the predictive text function on our phones or applying a selfie filter on Instagram or Snapchat. Some AI-powered systems do useful things that help us, like optimize electricity grids. Others capture our most sensitive personal information — your voice, your face shape, your skin color, the way you walk — and use it to make inferences about who we are. Companies and governments are already using AI systems to make decisions that l...

DW analysis: Google image search cements national stereotypes of 'racy' women | Press | DW - Vimarsana News

DW analysis: Google image search cements national stereotypes of 'racy' women | Press | DW

DW analysis: Google image search cements national stereotypes of ‘racy’ women An exclusive data-driven investigation by DW reveals how Google's image search perpetuates sexist stereotypes. Women from Latin America, eastern Europe and southeast Asia are particularly affected. In an exclusive analysis, DW has found that Google’s image search propagates sexist stereotypes. The analysis was a collaborative project between DW's Data Journalism and Culture departments. The two teams analyzed over 20,000 images and websites and reveal an inherent bias in the search giant’s algorithms. For...

Source: dw.com