The application of artificial intelligence is rapidly increasing across various scientific disciplines, having quadrupled in research papers from 2012 to 2022. While AI has the potential to accelerate discoveries in fields such as economics, geological sciences, and psychology, there are concerns regarding its misuse. The complexity of AI can lead to overestimations of predictive power and an illusion of progress, especially among researchers lacking computational expertise. The article underscores the urgency of establishing comprehensive guidelines for AI applications in science to prevent inaccuracies and ensure real advancements.
AI has immense potential to accelerate scientific discovery, yet its rampant adoption brings serious risks of misuse, misunderstanding, and overestimation of its capabilities.
The proliferation of AI tools without clear guidelines threatens to stall real progress in scientific advancement, as researchers may misinterpret predictive outcomes.
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