Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Principles and challenges of generative artificial intelligence detection
2
Zitationen
5
Autoren
2024
Jahr
Abstract
Editor—Generative artificial intelligence (AI) is a technology that can generate text, images, sounds, videos, and code. It imitates and generates similar content by learning from large amounts of data. This technology has changed information generation and dissemination, with potential positive and negative impact on medical publishing. The emergence of generative AI has made transmission of information more intelligent and automated, greatly reducing costs and improving efficiency of information spread. However, it also provides unprecedented technical 'support' for the proliferation of false information.1
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.549 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.443 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.941 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.792 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.