AI can write essays, generate images and sift through mountains of information in seconds, but despite its remarkable capabilities, researchers say one of the most powerful ingredients of human intelligence remains frustratingly difficult to replicate: our ability to adapt, learn from experience and make sense of an ever-changing world.
That challenge was the focus of a recent international webinar led by CQUniversity's Head of Educational Neuroscience, Professor Ken Purnell. Speaking to academics and business leaders from around the world, including Silicon Valley, Purnell explored how insights from neuroscience are helping shape the next generation of AI while highlighting the uniquely human qualities that machines have yet to master.
“People often think intelligence is about how much information can be stored or processed, but neuroscience tells us something different,” Professor Purnell said in a media release published by CQUniversity this week.
“The real power of the human brain lies in its ability to adapt, learn from experience and continually reshape itself in response to the world around it.”
Professor Purnell explained that the human brain contains around 86 billion neurons, each forming thousands of connections with others. More important than the number of neurons, however, is the constantly evolving network of connections between them.
“Unlike a filing cabinet that stores information in fixed locations, the brain builds interconnected networks of meaning that are continually shaped and reshaped by experience,” he said. “This neuroplasticity allows us to learn, adapt and respond to changing circumstances throughout our lives.”
The webinar explored the growing links between neuroscience and artificial intelligence, highlighting how many modern AI systems already draw inspiration from the brain.
Concepts such as artificial neural networks, predictive processing and attention mechanisms all have roots in our understanding of how the brain processes information and makes sense of the world.
Professor Purnell said both brains and AI systems rely on prediction, using past information to anticipate what is likely to happen next.
However, important differences remain.
“The human brain doesn't simply process information. It experiences the world,” he said.
“Our thinking is shaped by emotion, context, relationships and lived experience. AI can identify patterns, but it doesn't possess the rich personal experiences that influence human decision-making and learning.”
Professor Purnell said neuroscience also reveals that human memory is reconstructive rather than reproductive.
“We don't replay memories like a video recording. We rebuild them each time, influenced by meaning, context and emotion. That flexibility is a fundamental part of human intelligence.”
As researchers continue to develop new forms of AI, including neuromorphic computing and advanced learning systems inspired by the brain, Professor Purnell believes neuroscience will play an increasingly important role in shaping future technologies.
The original version of this article appeared as a media release from CQUniversity.