Research

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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Strengthening Anti-Malware Defenses with Artificial Intelligence

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

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Driving, Health, Culture: How AI Can Learn Through Observation

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Overexposure to Screens: An Emerging Healthcare Issue in Early Childhood

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AI's environmental footprint: understanding, measuring, acting

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Massive MIMO, Cloud RAN, and AI for future networks — Joint trials by Orange France and Ericsson

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