Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Reply to: Artificial Intelligence Face Swapping: Promise and Peril in Health Care
0
Zitationen
3
Autoren
2024
Jahr
Abstract
We thank Professor Patil for his pertinent comments in response to our article entitled Artificial intelligence-based face transformation in patient seizure videos for privacy protection.1 We agree that like any other technological or scientific advance, artificial intelligence methods that alter video material can be used for either beneficent or malevolent intent. There is growing literature on the risks and pitfalls of deepfakes in digital media, as we mentioned in our paper.2 Deepfakes are artificial but hyper-realistic videos, audio, and images created by algorithms that can be used to manipulate opinion by conveying a false message convincingly disguised as fact.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.578 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.470 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.984 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.814 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.