A machine learning expert predicts a new balance between human and machine intelligence is on the horizon. For that to be good news, researchers need to figure out how to design algorithms that are fair.
South Africans celebrate the Springboks winning the 2019 Rugby Woirld Cup.
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Labor needs to convincingly discredit the 2017 budget to the point that the government cannot use it to help restore its standing in the eyes of voters.
Business splits can be resolved fairly without resulting to the “Texas shoot out” method.
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Algorithms can discriminate, even when their designers don’t intend that to happen. But they also can make detecting bias easier.
Jim Thorpe and Ben Johnson were both banned from the Olympics. But if each had played at different points in history, they would have been allowed to compete.
Nick Lehr/The Conversation
For human groups to grow from small, intimate communities to the huge interconnected societies we know now, people needed to be willing to cooperate with strangers. Religion might have played a big role.
It’s all just data – how can it be prejudiced?
Trey Guinn
Math isn’t prejudiced, goes the argument. But these arithmetic programs can learn bias from the data fed into them by human beings, leading to unfair treatment and discrimination.
“Make sure you play fairly,” often say parents to their kids. In fact, children do not need encouragement to be fair, it is a unique feature of human social life, which emerges in childhood. When given…
Vasti Roodt is Associate Professor and Head of PROSPER (Promoting Social and Political Ethics Research) in the Department of Philosophy, Stellenbosch University