AI
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Artificial intelligence
AI can already diagnose depression better than a doctor and tell you which treatment is best
Research suggests AI could diagnose depression from health records or even social media posts.
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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.
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Artificial intelligence
The digital divide caused by generative AI
The risk of a growing gap between organizations that have embraced new artificial intelligence (AI) technologies and those that have…
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Artificial intelligence
Tacit knowledge is no longer the preserve of humans
The rise of AI-based KM offerings raises some fundamental questions that could overturn many of the core tenets underpinning KM.
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Artificial intelligence
Move over, agony aunt: study finds ChatGPT gives better advice than professional columnists
Researchers tested how ChatGPT stacks up against professional advice columnists – with some intriguing results.
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Artificial intelligence
Using AI to augment creativity
AI is commonly perceived as a dangerous threat, however there are numerous ways in which it can assist and empower…
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Artificial intelligence
Data poisoning: how artists are sabotaging AI to take revenge on image generators
As AI developers indiscriminately suck up online content to train their models, artists are seeking ways to fight back.
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Artificial intelligence
Humans and machines still struggle to cooperate on decision making
The tendency to override algorithmic decisions to the detriment of outcomes is referred to as algorithm aversion. What causes it?
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Artificial intelligence
Researchers warn we could run out of data to train AI by 2026. What then?
When it comes to training high-performing AI models, the quality of the data is just as important as the quantity.
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Artificial intelligence
AI is closer than ever to passing the Turing test for ‘intelligence’. What happens when it does?
The Turing test, first proposed in 1950, could supposedly tell us whether an AI system could ‘think’ like a human.