AI programs spat out known data and hardly learned specific chemical interactions when predicting drug potency

Artificial intelligence (AI) is on the rise. Until now, AI applications generally have 'black box' character: How AI arrives at its results remains hidden. A cheminformatics scientist has now developed a method that reveals how certain AI applications work in pharmaceutical research. The results are unexpected: the AI programs largely remembered known data and hardly learned specific chemical interactions when predicting drug potency.

Artificial intelligence (AI) is on the rise. Until now, AI applications generally have 'black box' character: How AI arrives at its results remains hidden. A cheminformatics scientist has now developed a method that reveals how certain AI applications work in pharmaceutical research. The results are unexpected: the AI programs largely remembered known data and hardly learned specific chemical interactions when predicting drug potency.

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