科学研究における人工知能と理解の幻想
Lisa Messeri1, M J Crockett2,3
1Department of Anthropology, Yale University, New Haven, CT, USA. lisa.messeri@yale.edu.
Nature
|March 6, 2024
まとめ
人工知能 (AI) ツールは 研究の生産性と客観性を高めることを約束します しかし,理解の幻想や科学的な単一文化を作り出し,科学的な革新や理解を減少させる危険性があります.
科学分野:
- 科学的研究方法論
- 科学における人工知能
- 認知科学
背景:
- 科学者は人工知能 (AI) ツールが研究を大きく前進させると予想しています.
- 研究におけるAIの魅力は 生産性と客観性を高める可能性から生まれます
- 科学的なパイプラインにおける AI の広範な実装に関連するリスクについて懸念があります.
研究 の 目的:
- 研究におけるAIに関する科学者のビジョンの分類を策定する.
- AIツールの魅力と潜在的落とし穴を分析する.
- AIの時代における責任ある知識生産の枠組みを提供すること
主な方法:
- AIに対する科学者のビジョンを分類する分類法の開発.
- 研究におけるAIに関連する認知およびシステム上のリスクの分析.
- 人工知能が人間の認知能力の限界を 利用する方法を検討する.
主要な成果:
- 人工知能の魅力は 生産性と客観性の向上のために 人間の限界を克服することにある
- 人工知能のツールは 理解の錯覚を助長し 知識に対する過度の自信につながります
- リスクには,科学的な単一栽培の形成,イノベーションの妨げ,エラーの脆弱性の増大が含まれます.
結論:
- AIを科学に統合すると 成果は上がりますが 理解は低下します
- 責任ある科学の進歩を確実にするには AIの役割を批判的に検討する必要がある.
- 知識の生産におけるAIの課題をナビゲートするために提案された枠組み.
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