What’s new: A new pair of AI benchmarks could help developers reduce bias in AI models, potentially making them fairer and less likely to cause harm. The benchmarks evaluate AI systems 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 it matters: The researchers were inspired to look into the problem of bias after witnessing clumsy missteps in previous approaches, demonstrating how ignoring differences between groups may in fact make AI systems less fair. But while these new benchmarks could help teams better judge fairness in AI models, actually fixing them may require some other techniques altogether. Read the full story.
—Scott J Mulligan
AGI is suddenly a dinner table topic
The concept of artificial general intelligence—an ultra-powerful AI system we don’t have yet—can be thought of as a balloon, repeatedly inflated with hype during peaks of optimism (or fear) about its potential impact and then deflated as reality fails to meet expectations.
Over the past week, lots of news went into inflating that AGI balloon, including the launch of a new, seemingly super-capable AI agent called Manus, created by a Chinese startup. Read our story to learn what’s happened, and why it matters.
—James O’Donnell
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.
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