On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods

Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani

AAAI 2024 pp. 20921-20929

doi:10.1609/AAAI.V38I19.30082 /aaai/2024/amarasinghe2024aaai-importance/

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Cite

Text

Amarasinghe et al. "On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I19.30082

Markdown

[Amarasinghe et al. "On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/amarasinghe2024aaai-importance/) doi:10.1609/AAAI.V38I19.30082

BibTeX

@inproceedings{amarasinghe2024aaai-importance,
  title     = {{On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods}},
  author    = {Amarasinghe, Kasun and Rodolfa, Kit T. and Jesus, Sérgio M. and Chen, Valerie and Balayan, Vladimir and Saleiro, Pedro and Bizarro, Pedro and Talwalkar, Ameet and Ghani, Rayid},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {20921-20929},
  doi       = {10.1609/AAAI.V38I19.30082},
  url       = {https://mlanthology.org/aaai/2024/amarasinghe2024aaai-importance/}
}