Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Holding the Scalpel: Scientific Authorship and Responsibility in the Era of Generative Artificial Intelligence
0
Zitationen
1
Autoren
2026
Jahr
Abstract
Scientific writing and authorship are fundamentally acts of professional judgment and responsibility. This essay examines these principles in the era of increasingly fluent generative artificial intelligence (AI), arguing that scientific integrity-much like surgical mastery-depends on a level of earned comprehension and accountability that no algorithm can simulate. Drawing on a surgical experience in a resource-limited setting to illustrate the nature of judgment under uncertainty, the piece explores how the rise of AI risks replacing genuine expertise with hollow fluency. The essay concludes that judgment and responsibility must remain irreducibly human in both surgical practice and scientific authorship.
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.