How to Induce Trust in Medical AI Systems
| Autor: | Ulrich Reimer, Beat Tödtli, Edith Maier |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Medical device
Operationalization Knowledge management Computer science business.industry 02 engineering and technology Certification Domain (software engineering) 03 medical and health sciences 0302 clinical medicine Agency (sociology) 030221 ophthalmology & optometry 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing Set (psychology) business Ai systems |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030658465 ER (Workshops) |
| DOI: | 10.1007/978-3-030-65847-2_1 |
| Popis: | Trust is an important prerequisite for the acceptance of an Artificial Intelligence (AI) system, in particular in the medical domain. Explainability is currently discussed as the key approach to induce trust. Since a medical AI system is considered a medical device, it also has to be formally certified by an officially recognised agency. The paper argues that neither explainability nor certification suffice to tackle the trust problem. Instead, we propose an alternative approach aimed at showing the physician how well a patient is represented in the original training data set. We operationalize this approach by developing formal indicators and illustrate their usefulness with a real-world medical data set. |
| Databáze: | OpenAIRE |
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