Fairness, Accountability and Transparency in Artificial Intelligence: A Case Study of Logical Predictive Models

Kacper Sokol. Fairness, Accountability and Transparency in Artificial Intelligence: A Case Study of Logical Predictive Models. In Vincent Conitzer, Gillian K. Hadfield, Shannon Vallor, editors, Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2019, Honolulu, HI, USA, January 27-28, 2019. pages 541-542, ACM, 2019. [doi]

@inproceedings{Sokol19,
  title = {Fairness, Accountability and Transparency in Artificial Intelligence: A Case Study of Logical Predictive Models},
  author = {Kacper Sokol},
  year = {2019},
  doi = {10.1145/3306618.3314316},
  url = {https://doi.org/10.1145/3306618.3314316},
  researchr = {https://researchr.org/publication/Sokol19},
  cites = {0},
  citedby = {0},
  pages = {541-542},
  booktitle = {Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2019, Honolulu, HI, USA, January 27-28, 2019},
  editor = {Vincent Conitzer and Gillian K. Hadfield and Shannon Vallor},
  publisher = {ACM},
  isbn = {978-1-4503-6324-2},
}