Abstract
With the advent of high-performance black-box models, interpretability is becoming a hot topic today in machine learning. While a lot of research is
done on interpretability, machine learning researchers do not have precise guidelines for setting up user-based experiments. This paper provides well-established guidelines from the human-computer interaction community.
done on interpretability, machine learning researchers do not have precise guidelines for setting up user-based experiments. This paper provides well-established guidelines from the human-computer interaction community.
Original language | English |
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Title of host publication | EGC Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence |
Place of Publication | Metz |
Publication status | Published - 2019 |
Keywords
- Machine learning
- Interpretability
- Guidelines