Many of today's artificial intelligence systems loosely mimic the human brain. In a paper published in Proceedings of the National Academy of Sciences, researchers suggest that another branch of biology—ecology—could inspire a whole new generation of AI to be more powerful, resilient, and socially responsible.
The idea arose from the observation that AI can be shockingly good at certain tasks, but still far from useful at others—and that AI development is hitting walls that ecological principles could help it to overcome.
"Compared to other statistical models, AI can incorporate greater amounts of data and a diversity of data sources, and that might help us discover new interactions and drivers that we may not have thought were important," said LaDeau."There is a lot of promise for developing AI to better capture more types of data, like the socio-cultural insights that are really hard to boil down to a number.
"Mode collapse is when you're training an artificial neural network on something, and then you train it on something else and it forgets the first thing that it was trained on," he explained."By better understanding why mode collapse does or doesn't happen in natural systems, we may learn how to make it not happen in AI."
Furthermore, the future evolution of artificial intelligence depends on fresh ideas. The CEO of OpenAI, the creators of ChatGPT,"There will have to be other inspirations, and ecology offers one pathway for new lines of thinking," said Varshney.While ecology and artificial intelligence have been advancing in similar directions independently, the researchers say that closer and more deliberate collaboration could yield not-yet-imagined advances in both fields.
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