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Are children the key to the next generation of artificial intelligence?

Are children the key to the next generation of artificial intelligence?

tech innovation 2022

credit: Unsplash/CC0 Public Domain

According to Trinity neuroscientists and their colleagues, who have published new guiding principles for improving AI, babies could help unlock the next generation of artificial intelligence (AI).

research, published today in the journal nature machine intelligenceExamines the neuroscience and psychology of infant learning and formulates three principles to guide the next generation of AI, which will help address the most pressing limitations of machine learning.

Dr. Lorijan Zdnordijk, Marie Sklodowska-Curie Research Fellow at Trinity College, explained: “Artificial intelligence (AI) has made tremendous strides over the past decade, giving us smart speakers, autopilot in cars, always-smart apps and advanced medical diagnostics. These exciting developments in AI have been achieved thanks to machine learning which uses vast datasets to train artificial neural network models.

“However, progress in many areas is stalling because machine-learning datasets must be painstakingly curated by humans. But we know that learning can be done much more efficiently, because infants are not that way. They learn. They learn by experiencing the world around them, sometimes even by seeing something just once.”

Dr. Lorijan Zadnordijk and Professor Rodri Cusack from Trinity College Institute of Neuroscience (TCIN), and Dr. Tarek R. Besold from TU Eindhoven, Netherlands, argue in their article “Lessons from Infant Learning for Unsupervised Machine Learning” that learning from unstructured data Better methods are needed. For the first time, they make concrete proposals about what specific insights from infant education can be useful in machine learning and how to apply these learnings.

He says that machines will need in-built priorities to shape their learning from the start. They will need to learn from rich datasets that represent how the world looks, sounds, smells, tastes and feels. And, like infants, they will need a developmental trajectory, where experiences and networks change as they “grow up.”

Dr Tarek R., researcher in the Philosophy and Ethics Group at TU Eindhoven. Besold said: “As AI researchers, we often draw metaphorical parallels between our systems and the mental development of human infants and toddlers. It is time to take these analogies. Infants more seriously and from psychology and neuroscience.” Look at the rich knowledge of development that can help us overcome some of the most pressing limitations of machine learning.”

Professor Rodri Cusack, Thomas Mitchell Professor of Cognitive Neuroscience, Director of the Trinity College Institute of Neuroscience, said: “Artificial neural networks were inspired by parts of the brain. Similar to infants, they rely on learning, but current implementations are very different from this. Human (and animal) learning. Through interdisciplinary research, children can help unlock the next generation of AI.”

Does the brain learn in the same way as a machine learns?

more information:
Lorijn Zadnordijk et al, Lessons from infant education for unsupervised machine learning, nature machine intelligence (2022). DOI: 10.1038/s42256-022-00488-2

Provided by Trinity College Dublin

CitationAre children the key to the next generation of artificial intelligence? (2022, 23 June) retrieved 23 June 2022

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