Breaking open the AI black box, team finds key chemistry for solar energy and beyond

AI Summary

In this article, researchers discuss the limitations of artificial intelligence, such as the lack of explanation for its decisions, known as the 'AI black box.' However, by combining AI with automated chemical synthesis and experimental validation, researchers have been able to uncover the chemical principles that AI used to enhance molecules for solar energy harvesting. This interdisciplinary approach provides insights into the chemical processes involved and could lead to advancements in solar energy technology.

Artificial intelligence is a powerful tool for researchers, but with a significant limitation: The inability to explain how it came to its decisions, a problem known as the ‘AI black box.’ By combining AI with automated chemical synthesis and experimental validation, an interdisciplinary team of researchers has opened up the black box to find the chemical principles that AI relied on to improve molecules for harvesting solar energy.

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