Angie Zhang

PhD Student @ UT Austin



School of Information

University of Texas at Austin



Participatory algorithmic management: Elicitation methods for worker well-being models


Conference paper


Min Kyung Lee, Ishan Nigam, Angie Zhang, Joel Afriyie, Zhizhen Qin, Sicun Gao
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, pp. 715--726

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Cite

APA   Click to copy
Lee, M. K., Nigam, I., Zhang, A., Afriyie, J., Qin, Z., & Gao, S. (2021). Participatory algorithmic management: Elicitation methods for worker well-being models. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (pp. 715–726).


Chicago/Turabian   Click to copy
Lee, Min Kyung, Ishan Nigam, Angie Zhang, Joel Afriyie, Zhizhen Qin, and Sicun Gao. “Participatory Algorithmic Management: Elicitation Methods for Worker Well-Being Models.” In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 715–726, 2021.


MLA   Click to copy
Lee, Min Kyung, et al. “Participatory Algorithmic Management: Elicitation Methods for Worker Well-Being Models.” Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, pp. 715–26.


BibTeX   Click to copy

@inproceedings{lee2021a,
  title = {Participatory algorithmic management: Elicitation methods for worker well-being models},
  year = {2021},
  pages = {715--726},
  author = {Lee, Min Kyung and Nigam, Ishan and Zhang, Angie and Afriyie, Joel and Qin, Zhizhen and Gao, Sicun},
  booktitle = {Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society}
}


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