How AI Models Are Helping to Understand — and Control — the Brain
1 min read
Summary
Artificial intelligence (AI) researcher Martin Schrimpf’s primary motivation is using AI to learn more about how human brains work.
Schrimpf created the Brain-Score platform, hosting over 100 human neural and behavioural datasets, to enable researchers to test their artificial intelligence models against human data.
Schrimpf and his team train AI models and test them against human subjects to identify how human, animal and machine cognition works and to treat brain-related conditions such as depression and dyslexia.
Schrimpf compares attempting to understand the brain through AI to comparing two human brains, stating that there is no reason why AI cannot be used to emulate and replicate human intelligence.
While Schrimpf believes that intelligence is reducible to computation, he does not think that this reduces what it means to be human.
He argues that the human experience is not defined by the underlying building blocks of biology, but by a human’s lifetime experiences.
