Artificial consciousness and the consciousness-attention dissociation |
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Affiliation: | 1. Philosophy Program LaGuardia Community College, City University of New York, Long Island City, NY, USA;2. Department of Psychology and Brain Research Institute, University of California, Los Angeles, CA, USA;3. Department of Psychology, and State Key Laboratory for Brain and Cognitive Sciences, the University of Hong Kong, Hong Kong, China;4. Center for Neural Science and Department of Psychology, New York University, New York, NY, USA;5. Departments of Psychiatry and Child and Adolescent Psychiatry, New York University Langone Medical School, New York, NY, USA;6. Nathan Kline Institute, Orangeburg, NY, USA |
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Abstract: | Artificial Intelligence is at a turning point, with a substantial increase in projects aiming to implement sophisticated forms of human intelligence in machines. This research attempts to model specific forms of intelligence through brute-force search heuristics and also reproduce features of human perception and cognition, including emotions. Such goals have implications for artificial consciousness, with some arguing that it will be achievable once we overcome short-term engineering challenges. We believe, however, that phenomenal consciousness cannot be implemented in machines. This becomes clear when considering emotions and examining the dissociation between consciousness and attention in humans. While we may be able to program ethical behavior based on rules and machine learning, we will never be able to reproduce emotions or empathy by programming such control systems—these will be merely simulations. Arguments in favor of this claim include considerations about evolution, the neuropsychological aspects of emotions, and the dissociation between attention and consciousness found in humans. Ultimately, we are far from achieving artificial consciousness. |
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Keywords: | Artificial intelligence Artificial consciousness Consciousness Visual attention Phenomenology Emotions Empathy |
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