What’s new: A new pair of AI reference points could help developers reduce bias in AI models, which could make them more fair and less likely to cause damage. The reference points evaluate the systems of AI based on their awareness of different scenarios and contexts. They could offer a more nuanced way to measure AI’s bias and its understanding of the world.
Why does it matter: The researchers were inspired to analyze the bias problem after witnessing clumsy in false approaches, demonstrating how to ignore the differences between the groups can make the systems of AI less fair. But while these new reference points could help teams better judge justice in AI models, fix them may actually require other techniques completely. Read the complete story.
“Scott J Mulligan.”
AGI is suddenly a table theme
The concept of artificial general intelligence, an ultrapoderous ia system that we still do not have, can be considered as a globe, repeatedly inflated with exaggeration during optimism (or fear) peaks on its potential impact and then deflated as reality does not meet expectations.
During the past week, there were many news to inflate that Agi globe, including the launch of a new seemingly super capital artificial intelligence agent called Manus, created by a Chinese startup. Read our story to learn what happened and why it matters.
“James O’Donnell.”
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