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ChatGPT and generative AI are revolutionizing the scientific community: A Janus-faced conundrum.
Pu, Zhongji; Shi, Chun-Lin; Jeon, Che Ok; Fu, Jingyuan; Liu, Shuang-Jiang; Lan, Canhui; Yao, Yanlai; Liu, Yong-Xin; Jia, Baolei.
Affiliation
  • Pu Z; Xianghu Laboratory Hangzhou China.
  • Shi CL; ANGENOVO Oslo Norway.
  • Jeon CO; Department of Life Science Chung-Ang University Seoul Republic of Korea.
  • Fu J; Department of Genetics, University Medical Center Groningen University of Groningen Groningen The Netherlands.
  • Liu SJ; State Key Laboratory of Microbial Resources, Institute of Microbiology Chinese Academy of Sciences Beijing China.
  • Lan C; State Key Laboratory of Microbial Technology Shandong University Qingdao China.
  • Yao Y; School of Life Science and Technology Wuhan Polytechnic University Wuhan China.
  • Liu YX; R-Institute Co. Ltd. Beijing China.
  • Jia B; Xianghu Laboratory Hangzhou China.
Imeta ; 3(2): e178, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38882492
ABSTRACT
The advent of generative artificial intelligence (AI) technologies marks a transformative moment for the scientific sphere, unlocking novel avenues to elevate scientific writing's efficiency and quality, expedite insight discovery, and enhance code development processes. Essential to leveraging these advancements is prompt engineering, a method that enhances AI interaction efficiency and quality. Despite its benefits, effective application requires blending researchers' expertise with AI, avoiding overreliance. A balanced strategy of integrating AI with independent critical thinking ensures the advancement and quality of scientific research, leveraging innovation while maintaining research integrity.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Imeta Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Imeta Year: 2024 Document type: Article