Health

Co-adaptation: When the Algorithm Learns Too Fast for Humans

• Researchers at the University of Washington have modeled what happens when an interface and its user learn at the same time.
• A decoder that recalibrates too quickly not only degrades performance but also hinders the user’s own learning.
• François Bourquin, an artificial intelligence specialist at Orange, places these findings within the broader debate on human supervision of learning systems.
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At ChangeNow, Socially Conscious Startups Use AI to Turn Data into Concrete Action

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Overexposure to Screens: An Emerging Healthcare Issue in Early Childhood

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Decoding inner speech: a new interface that deciphers patients’ thoughts

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Social robots to support caregivers: a self-to-self fix for a collective problem?

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A woman lying on a yoga mat, looking at her phone with headphones beside her. Natural light illuminates the wooden room.

The perilous charms of relational AIs

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AI therapy: marketing hype and the hidden risks for users

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