The way the brain learns is different from the way AI systems learn: study

Jan 6, 2024 ·

A recent study published by Oxford University has revealed a significant difference between how the brain and artificial intelligence (AI) systems learn. The study, conducted by Professor Leslie Smith and his team, examined the differences between the two types of learning systems and their implications for both AI research and the development of new approaches to teaching.

The team used a range of tests to compare the different ways in which the brain and AI systems learn. They found that while AI systems are able to rapidly generalize newly acquired information, the brain is better at quickly adapting to changing conditions. This means that AI systems tend to focus on the overall task rather than making adjustments based on subtle changes in the environment.

It was also observed that the brain is far more efficient when it comes to recognizing patterns and making predictions about future events. In comparison, AI systems struggle with such tasks and require large amounts of training data to be successful.

The study has highlighted the need for new approaches to teaching that take into account the biological differences between humans and AI systems. For instance, designing educational materials that combine elements of both human and AI learning could potentially improve the way that people learn.

Overall, this study provides important insight into the differences between brain-based and AI-based learning systems, and suggests new approaches to teaching which may benefit both humans and AI machines alike.