
AI Boosts Scientific Output, But at What Cost to Quality?
A recent Cornell University study reveals that AI writing tools have significantly boosted scientific productivity, with researchers publishing up to 50 more papers after adopting them. However, this surge in output has also led to a growing concern about the quality of research, as many AI-polished papers lack meaningful scientific value. This emerging gap between polished writing and substantial results is complicating peer review, funding decisions, and research oversight, raising questions about the integrity of the scientific process.










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