FAT-CAT - Explainability and augmentation for an AI system: A case study on AI recruitment-system adoption

Chang-Hyun Lee, Kyung Jin Cha. FAT-CAT - Explainability and augmentation for an AI system: A case study on AI recruitment-system adoption. International Journal of Man-Machine Studies, 171:102976, 2023. [doi]

@article{LeeC23-2,
  title = {FAT-CAT - Explainability and augmentation for an AI system: A case study on AI recruitment-system adoption},
  author = {Chang-Hyun Lee and Kyung Jin Cha},
  year = {2023},
  doi = {10.1016/j.ijhcs.2022.102976},
  url = {https://doi.org/10.1016/j.ijhcs.2022.102976},
  researchr = {https://researchr.org/publication/LeeC23-2},
  cites = {0},
  citedby = {0},
  journal = {International Journal of Man-Machine Studies},
  volume = {171},
  pages = {102976},
}