bias
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Brain power
Unrest in Bangladesh is revealing the bias at the heart of Google’s search engine
Bangladesh is an illustrative case of the global problem of algorithmic bias, and highlights how search engines can be exploited.
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Artificial intelligence
Tech companies claim AI can recognise human emotions. But the science doesn’t stack up
Emotion recognition technologies endanger fundamental rights without proper justification.
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Artificial intelligence
AI for life: how sovereign Wiradyuri ways of knowing can transform technology for good
Technology doesn’t have to be harmful to indigenous people in the way AI currently is.
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Artificial intelligence
AI affects everyone – including Indigenous people. It’s time we have a say in how it’s built
Unless AI developers start involving Indigenous people, their claims about the technology benefiting all of humanity will continue to ring…
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Artificial intelligence
Madhumita Murgia: “AI can do harm when people don’t have a voice”
AI has genuinely life-changing potential, but we need to fix the human error, regulatory failure, and institutional bias in its…
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Brain power
How workplaces are biased against introverts
Extroverted employees are generally more likely to be viewed as passionate than their introverted peers. What can we do to…
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Brain power
Where behavioural biases STEM from
The STEM framework captures the four drivers of human behaviour – society, thoughts, emotions and motivation – and can be…
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Brain power
How overconfidence harms decision making
People tend to be more overconfident than knowledgeable, especially when they have some knowledge but not a lot.
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Artificial intelligence
The AI industry is on the verge of becoming another boys’ club. We’re all going to lose out if it does
For decades, women worked behind the scenes while men received the recognition. The AI industry must not repeat history.
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Artificial intelligence
‘Computer says no’: more employers are using AI to recruit, increasing the risk of discrimination
Using technology for recruitment might be faster, but the most suitable candidate could be overlooked.
