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AI Could Be Making Scientists Less Creative | A new study examining 68 million scientific papers shows using AI boosts researchers' careers, but narrows the questions they ask.
A new study examining 68 million scientific papers shows using AI boosts researchers' careers, but narrows the questions they ask.
Adopting artificial intelligence tools to analyze data and model outcomes has a huge impact on the career prospects of young scientists, significantly increasing their chances of rising to positions of influence in their fields, according to a new study. In essence, the more scientists use AI, the more they focus on the same set of problems that can be answered with large, existing datasets and the less they explore foundational questions that can lead to entirely new fields of study. Next, the authors used AI models to categorize the topics covered by AI-assisted versus non-AI research and to examine how the different types of papers cited each other and whether they spurred new strands of inquiry.
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