Making AI 'Smart': Bridging AI and Cognitive Science
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Abstract (arXiv)
The last two decades have seen tremendous advances in Artificial Intelligence. The exponential growth in terms of computation capabilities has given us hope of developing humans like robots. The question is: are we there yet? Maybe not. With the integration of cognitive science, the 'artificial' characteristic of Artificial Intelligence (AI) might soon be replaced with 'smart'. This will help develop more powerful AI systems and simultaneously gives us a better understanding of how the human brain works. We discuss the various possibilities and challenges of bridging these two fields and how they can benefit each other. We argue that the possibility of AI taking over human civilization is low as developing such an advanced system requires a better understanding of the human brain first.
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References · 10
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2015Deep Speech 2: End-to-End Speech Recognition in English and Mandarincited by 449
- 2020One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencingcited by 438
- 2018DeepFakes: a New Threat to Face Recognition? Assessment and Detectioncited by 208
- 2019Deep Learning for Deepfakes Creation and Detection: A Surveycited by 102
- 2016Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learnercited by 68
- 2018Evaluating Theory of Mind in Question Answeringcited by 64
- 2020Reinforcement Learning through Active Inferencecited by 47
- 2019Multilingual End-to-End Speech Translationcited by 37
- 2014Surpassing Human-Level Face Verification Performance on LFW with GaussianFacecited by 24
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