Counterfactual Explanations of Machine Learning Predictions: Opportunities and Challenges for AI Safety

Kacper Sokol, Peter A. Flach. Counterfactual Explanations of Machine Learning Predictions: Opportunities and Challenges for AI Safety. In Huáscar Espinoza, Seán Ó hÉigeartaigh, Xiaowei Huang, José Hernández-Orallo, Mauricio Castillo-Effen, editors, Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), Honolulu, Hawaii, January 27, 2019. Volume 2301 of CEUR Workshop Proceedings, CEUR-WS.org, 2019. [doi]

@inproceedings{SokolF19,
  title = {Counterfactual Explanations of Machine Learning Predictions: Opportunities and Challenges for AI Safety},
  author = {Kacper Sokol and Peter A. Flach},
  year = {2019},
  url = {http://ceur-ws.org/Vol-2301/paper_20.pdf},
  researchr = {https://researchr.org/publication/SokolF19},
  cites = {0},
  citedby = {0},
  booktitle = {Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), Honolulu, Hawaii, January 27, 2019},
  editor = {Huáscar Espinoza and Seán Ó hÉigeartaigh and Xiaowei Huang and José Hernández-Orallo and Mauricio Castillo-Effen},
  volume = {2301},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}