The Emergence of Collective AI for Rapid Response and Innovation
In a leap towards the future of artificial intelligence, researchers from Loughborough, Yale, and MIT propose developing a collective AI system capable of lifelong learning and instant knowledge sharing across a network. This envisioned AI society could rapidly respond to challenges, share discoveries, and adapt to new situations, from cybersecurity to disaster relief and personalized healthcare. Despite potential risks, the study suggests these AI units could maintain autonomy to prevent the spread of unethical information, marking a significant shift from static AI models to dynamic, sustainable collective intelligence.
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Ray Merlin
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The Emergence of Collective AI for Rapid Response and Innovation
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