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| Embodying AI in robots so they can interact with the world around them and evolve like the human brain does is the most likely way AI will develop human-like cognition Photo Credit: Gerd Altmann |
Connecting artificial intelligence systems to the real world through robots and designing them using principles from evolution is the most likely way AI will gain human-like cognition, according to research from the University of Sheffield.
- University of Sheffield researchers say artificial intelligence systems are unlikely to gain human-like cognition, unless they’re connected to the real world through robots and designed using principles from evolution
- Current AI systems, such as ChatGPT, copy some processes in the human brain to use datasets to solve difficult problems, but Sheffield researchers say this form of disembodied AI is unlikely to resemble the complexities of real brain processing no matter how big these datasets become
- Biological intelligence - such as the human brain - is achieved through a specific architecture that learns and improves using its connections to the real world, but this is rarely used in the design of AI
- Embodying AI in robots so they can interact with the world around them and evolve like the human brain does is the most likely way AI will develop human-like cognition









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