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Defining what s ethical in artificial intelligence needs input from Africans

Inclusivity and diversity also need to be at the level of identifying values and defining frameworks of what counts as ethical AI in the first place.

Algorithms can decide your marks, your work prospects and your financial security How do you know they re fair?

A UK controversy about school leavers’ marks shows algorithms can get things wrong. To ensure algorithms are as fair as possible, how they work and the trade-offs involved must be made clear.

Suit seeks to limit anti-Muslim speech on Facebook but roots of Islamophobia run far deeper

Twitter ditches image-cropping AI after finding racial, gender bias

Updated: May 20, 2021 15:49 IST The social network introduced a new way to display standard aspect ratio photos in both Android and iOS devices in March last year. Share Article AAA The company launched an initiative in April to analyse how algorithms behave on its platform by consulting with engineers, researchers and data scientists.   | Photo Credit: AFP The social network introduced a new way to display standard aspect ratio photos in both Android and iOS devices in March last year. (Subscribe to our Today s Cache newsletter for a quick snapshot of top 5 tech stories. Click here to subscribe for free.) Twitter Inc said on Wednesday it has ditched its image-cropping algorithm as it excluded Black people from photos. The social media firm added that cropping an image is a decision best made to people.

It s not just a social media problem – how search engines spread misinformation

Search engines are one of society’s primary gateways to information and people, but they are also conduits for misinformation. Similar to problematic social media algorithms, search engines learn to serve you what you and others have clicked on before. Because people are drawn to the sensational, this dance between algorithms and human nature can foster the spread of misinformation. Search engine companies, like most online services, make money not only by selling ads, but also by tracking users and selling their data through real-time bidding on it. People are often led to misinformation by their desire for sensational and entertaining news as well as information that is either controversial or confirms their views. One study found that more popular YouTube videos about diabetes are less likely to have medically valid information than less popular videos on the subject, for instance.

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