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Articles on Algorithm bias

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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.
People who share potential misinformation on Twitter (in purple) rarely get to see corrections or fact-checking (in orange). Shao et al.

Misinformation and biases infect social media, both intentionally and accidentally

Information on social media can be misleading because of biases in three places – the brain, society and algorithms. Scholars are developing ways to identify and display the effects of these biases.

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