Infrastructural intelligence: Contemporary entanglements between neuroscience and AI

Area of Science:

• Neuroscience
• Artificial Intelligence
• Cognitive Science

Background:

• Contemporary neuroscience increasingly views the brain as a complex system.
• This perspective enables comparisons between biological brains and artificial intelligence architectures.
• Google's DeepMind algorithms exemplify this trend, drawing inspiration from neuroscientific studies.

Purpose of the Study:

• To analyze the entanglement of artificial intelligence and neuroscience.
• To investigate the concept of "infrastructural intelligence" promoted by Google.
• To examine how the infrastructuralization of the brain influences our understanding of intelligence and creativity.

Main Methods:

• Tracing the development of DeepMind algorithms to neuroscientific research on memory and imagination.
• Analyzing methodologies in neuroscience that liken the brain to large-scale complex systems.
• Reflecting on the philosophical and societal implications of these developments.

Main Results:

• Google's DeepMind exhibits "infrastructural intelligence" by adapting its cognitive architecture with vast datasets.
• This intelligence demonstrates human-like capacities such as intuition.
• The infrastructuralization of the brain in neuroscience facilitates the development of AI.

Conclusions:

• The alignment of biological and artificial intelligence is reshaping our understanding of cognitive functions.
• Research is targeting neuronal infrastructures for higher cognitive functions like empathy and creativity.
• This process impacts the future conceptualization of the intelligent and creative social subject.