Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health
13
Zitationen
18
Autoren
2024
Jahr
Abstract
Für dieses Paper ist kein Abstract in der Datenbank hinterlegt.
Abstract beim Verlag einsehenÄhnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.197 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.047 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.410 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.410 Zit.
Autoren
Institutionen
- Beth Israel Deaconess Medical Center(US)
- Dartmouth Institute for Health Policy and Clinical Practice(US)
- NorthShore University HealthSystem(US)
- University of Victoria(CA)
- Homewood Research Institute(CA)
- National Patient Safety Foundation(US)
- American Medical Informatics Association(US)
- Association of American Medical Colleges(US)
- Enzo Life Sciences (United States)(US)
- Artificial Intelligence in Medicine (Canada)(CA)
- Dartmouth College(US)
- Icahn School of Medicine at Mount Sinai(US)
- Entrepreneurial Ecosystems(US)
- Cornell University(US)
- Weill Cornell Medicine(US)