How to make wise AI systems
International study suggests ways to train large language models in wise reasoning and measure the wisdom of AI
By
Media Relations
A new study is the first to suggest realistic ways to integrate wisdom into artificial intelligence, to create AI systems that will be more robust, transparent, cooperative and safe.
Researchers from the University of Waterloo led the team, which includes experts in psychology, computer science, and engineering. Their paper proposes ways to train large language models to be wiser, explore new architectures that could support wise reasoning, and suggest benchmarks to measure AI wisdom.
The timing of the work is critical because as AI capabilities race ahead, wisdom isn’t keeping pace, raising safety and reliability concerns.
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