Artificial Intelligence Hits the Barrier of Meaning†
AbstractToday’s AI systems sorely lack the essence of human intelligence: Understanding the situations we experience, being able to grasp their meaning. The lack of humanlike understanding in machines is underscored by recent studies demonstrating lack of robustness of state-of-the-art deep-learning systems. Deeper networks and larger datasets alone are not likely to unlock AI’s “barrier of meaning”; instead the field will need to embrace its original roots as an interdisciplinary science of intelligence. View Full-Text
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Mitchell, M. Artificial Intelligence Hits the Barrier of Meaning. Information 2019, 10, 51.
Mitchell M. Artificial Intelligence Hits the Barrier of Meaning. Information. 2019; 10(2):51.Chicago/Turabian Style
Mitchell, Melanie. 2019. "Artificial Intelligence Hits the Barrier of Meaning." Information 10, no. 2: 51.
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