On the Justified Use of AI Decision Support in Evidence-Based Medicine: Validity, Explainability, and Responsibility.
Camb Q Healthc Ethics
; : 1-7, 2023 Jun 09.
Article
en En
| MEDLINE
| ID: mdl-37293823
When is it justified to use opaque artificial intelligence (AI) output in medical decision-making? Consideration of this question is of central importance for the responsible use of opaque machine learning (ML) models, which have been shown to produce accurate and reliable diagnoses, prognoses, and treatment suggestions in medicine. In this article, I discuss the merits of two answers to the question. According to the Explanation View, clinicians must have access to an explanation of why an output was produced. According to the Validation View, it is sufficient that the AI system has been validated using established standards for safety and reliability. I defend the Explanation View against two lines of criticism, and I argue that within the framework of evidence-based medicine mere validation seems insufficient for the use of AI output. I end by characterizing the epistemic responsibility of clinicians and point out how a mere AI output cannot in itself ground a practical conclusion about what to do.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Guideline
/
Prognostic_studies
Idioma:
En
Revista:
Camb Q Healthc Ethics
Asunto de la revista:
ETICA
Año:
2023
Tipo del documento:
Article
País de afiliación:
Dinamarca
Pais de publicación:
Estados Unidos