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. The paper, "Imagining and building wise machines: The centrality of AI metacognition," is published in Trends in Cognitive Sciences.
"Artificial intelligence is getting smarter every day, but one important human skill it lacks is wisdom," said Dr. Sam Johnson, professor of psychology at Waterloo and co-lead author of the study. "Wisdom isn't just about knowledge or intelligence. It's about the mental skills needed to handle life's challenges, such as making difficult decisions or navigating unpredictable social situations."
To read more, click here.