The Utility of Explainable AI in Ad Hoc Human-Machine Teaming

Rohan R. Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, Matthew Gombolay. The Utility of Explainable AI in Ad Hoc Human-Machine Teaming. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 610-623, 2021. [doi]

@inproceedings{PalejaGAJG21,
  title = {The Utility of Explainable AI in Ad Hoc Human-Machine Teaming},
  author = {Rohan R. Paleja and Muyleng Ghuy and Nadun Ranawaka Arachchige and Reed Jensen and Matthew Gombolay},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/05d74c48b5b30514d8e9bd60320fc8f6-Abstract.html},
  researchr = {https://researchr.org/publication/PalejaGAJG21},
  cites = {0},
  citedby = {0},
  pages = {610-623},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}