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Articles on Algorithm bias

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“Alfie”, a moral choice machine, is pictured in front of an important question during a press conference in Germany. Arne Dedert/picture alliance via Getty Images

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.
Jacob King/PA/AAP

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.
Government agencies are increasingly using facial recognition technology, including through security cameras like this one being installed on the Lincoln Memorial in 2019. Mark Wilson/Getty Images

Feds are increasing use of facial recognition systems – despite calls for a moratorium

Politicians of all stripes, computer professionals and even big-tech executives are calling on government to hit the brakes on using these algorithms. The feds are hitting the gas.
Emotion recognition technology, an outgrowth of facial recognition technology, continues to advance quickly. Steve Jurvetson/flickr

AI can now read emotions – should it?

A report calls for banning the use of emotion recognition technology. An AI and computer vision researcher explains the potential and why there’s growing concern.
When algorithms make decisions with real-world consequences, they need to be fair. R-Type/Shutterstock.com

How can we make sure that algorithms are fair?

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.
Specialist machine learning and narrow AI could help us to start removing the “four Ds” - dirty, dull, difficult, dangerous - from our daily work. from www.shutterstock.com

AI is here to stay. Now we need to ensure everyone benefits

Artificial intelligence is predicted to contribute some US$15.7 trillion to the global economy by 2030. A new report looks at issues specific to New Zealand.

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