Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Generative artificial intelligence is infiltrating peer review process
29
Zitationen
5
Autoren
2024
Jahr
Abstract
Table 1 Statement on AI and AI-assisted technologies in peer review in the top ten journals with the highest impact factor in the field of critical care medicine Journals Statement on AI and AI-assisted technologies in peer review Lancet Respiratory Medicine 1. Reviewers should not use artificial intelligence (AI) or AI-assisted technologies to assist in the scientific review of a paper 2. Reviewers should not upload the paper, or any part of it, into an AI tool 3.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.400 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.261 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.695 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.506 Zit.
Autoren
Institutionen
- Second Affiliated Hospital of Zhengzhou University(CN)
- Hubei University of Arts and Science(CN)
- Xiangyang Central Hospital(CN)
- First Affiliated Hospital of Zhengzhou University(CN)
- Tianjin Medical University(CN)
- Capital Medical University(CN)
- Peking University(CN)
- Beijing Jishuitan Hospital(CN)
- Humboldt-Universität zu Berlin(DE)