Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations.

Holzinger A, Carrington A, Müller H

DOI: 10.1007/s13218-020-00636-z
Published: 2020
Container: Kunstliche intelligenz
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s13218-020-00636-z,
  title = {Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations.},
  author = {Holzinger A and Carrington A and Müller H},
  year = {2020},
  journal = {Kunstliche intelligenz},
  doi = {10.1007/s13218-020-00636-z},
  url = {https://doi.org/10.1007/s13218-020-00636-z}
}

RIS

TY  - JOUR
TI  - Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations.
AU  - Holzinger A
AU  - Carrington A
AU  - Müller H
PY  - 2020
JO  - Kunstliche intelligenz
DO  - 10.1007/s13218-020-00636-z
UR  - https://doi.org/10.1007/s13218-020-00636-z
ER  -

APA

A, H., A, C., & H, M. (2020). Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations.. Kunstliche intelligenz. https://doi.org/10.1007/s13218-020-00636-z

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pubmed · retrieved 2026-11-11T02:02:29.047Z