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ChatGPT於系統性文獻回顧和統合分析之應用
by
陳秀敏(Hsiu-Min CHEN)
in
ChatGPT
/ human-AI collaboration
/ MEDLINE
/ meta-analysis
/ practical recommendations
/ Scopus
/ systematic review
/ TSCI
/ 人機協作
/ 實務建議
/ 系統性文獻回顧
/ 統合分析
2024
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ChatGPT於系統性文獻回顧和統合分析之應用
by
陳秀敏(Hsiu-Min CHEN)
in
ChatGPT
/ human-AI collaboration
/ MEDLINE
/ meta-analysis
/ practical recommendations
/ Scopus
/ systematic review
/ TSCI
/ 人機協作
/ 實務建議
/ 系統性文獻回顧
/ 統合分析
2024
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Journal Article
ChatGPT於系統性文獻回顧和統合分析之應用
2024
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Overview
在系統性文獻回顧(systematic review, SR)和統合分析(meta-analysis, MA)使用聊天生成式預訓練轉換器(chat generative pre-trained transformer, ChatGPT)作為輔助工具需要審慎,建立嚴格的品質管制與驗證機制,以減少AI(artificial intelligence)「幻覺(hallucinations)」可能帶來的錯誤。研究顯示,在某些任務,如文獻篩選和資訊提取中,ChatGPT的表現可媲美甚至超越人類專家。但是,在執行複雜任務,如偏差風險評估方面,其表現仍有明顯侷限,顯示人類專家角色之重要性。本文回顧ChatGPT在SR和MA中的應用現況、潛在風險,並提出人機協作上的建議。在使用ChatGPT輔助研究時,需考慮不同情境任務,採取最適合的作法。在研究報告中保持使用ChatGPT的透明度以維護研究誠信,並且需要關注道德規範,包括數據隱私、偏見與公平性問題。最後,本文針對ChatGPT的應用角度提出建議,強調以人類為核心觀點下,在生成式人工智慧(artificial intelligence generated content)時代來臨時,應該著重培養的能力,包括持續自我迭代能力、提示詞工程技能能力、批判性思考能力、跨學科協作能力,以及倫理素養。以期在合理合規下,能持續優化人機協作模式,提高ChatGPT等AI工具在複雜任務中的表現,達到使用創新技術提升效率並具備科學嚴謹性之目標。
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