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Artificial intelligence is becoming an increasingly fascinating subject, but it comes with a glaring warning label — most notably, its potential to take away jobs traditionally performed by humans. However,
MIT and other researchers developed a framework that models irrational or suboptimal behavior of a human or AI agent, based on their computational constraints. Their technique can help predict an agent’s future actions.
A metacognitive perspective offers a promising approach to analyzing, measuring, and evaluating the usability challenges of generative AI. Researchers and developers can design AI systems that empower users and enhance their workflows by leveraging metacognition.
Collaborative intelligence to transform healthcare services digitally.
Introduction Automation means applying machines to tasks previously performed by humans or tasks that would be otherwise impossible. The term 'automation' was coined in the automobile industry in...