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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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Agent-based AI: “The underlying issue is the conscious relinquishment of human control”

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Wi-Fi: Behind the Scenes of a More Reliable and Sustainable Network

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At ChangeNow, Socially Conscious Startups Use AI to Turn Data into Concrete Action

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Sharlie: Behind the Scenes of a Speech-to-Speech Voice Assistant

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Confronting the Illusory Consensus of AI Swarms: Strategies for Preserving Democratic Debate

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Two professionals reviewing a screen together in a bright office, illustrating human oversight and coordination in a technology project.

AI Agents: Toward Orchestrated Autonomy and Human-Machine Co-Intelligence

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