Fairness, Society, and People
Bibliographic References tagged with Fairness, Society, and People
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M. Wuthrich, M. York, and D. C. Parkes,
M. Wuthrich, M. York, and D. C. Parkes,
M. H. Tessler et al.,
“AI can help humans find common ground in democratic deliberation”, Science, vol. 386, no. 6719, 2024.
M. H. Tessler et al.,
“AI can help humans find common ground in democratic deliberation”, Science, vol. 386, no. 6719, 2024.
S. Fish et al.,
“Generative Social Choice”, Proc. 25th Conf. on Economics and Computation (EC’24), 2024.
S. Fish et al.,
“Generative Social Choice”, Proc. 25th Conf. on Economics and Computation (EC’24), 2024.
A. Eden, G. Q. Ma, and D. C. Parkes,
“Platform Equilibrium: Analyzing Social Welfare in Online Market Places.”, in Proc. 25th Conf. on Economics and Computation (EC’24) , 2024.
A. Eden, G. Q. Ma, and D. C. Parkes,
“Platform Equilibrium: Analyzing Social Welfare in Online Market Places.”, in Proc. 25th Conf. on Economics and Computation (EC’24) , 2024.
Z. Deng, H. Sun, S. Wu, L. Zhang, and D. C. Parkes,
“Reinforcement Learning with Stepwise Fairness Constraints.”, in Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) , 2023, pp. 10594–10618.
Z. Deng, H. Sun, S. Wu, L. Zhang, and D. C. Parkes,
“Reinforcement Learning with Stepwise Fairness Constraints.”, in Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) , 2023, pp. 10594–10618.
J. Watson-Daniels, D. C. Parkes, and B. Ustun,
“Predictive Multiplicity in Probabilistic Classification”, in Proc. of Association for the Advancement of Artificial Intelligence, AAAI, 2023, pp. 10306–10314.
J. Watson-Daniels, D. C. Parkes, and B. Ustun,
“Predictive Multiplicity in Probabilistic Classification”, in Proc. of Association for the Advancement of Artificial Intelligence, AAAI, 2023, pp. 10306–10314.
S. Hilgard, N. Rosenfeld, M. R. Banaji, J. Cao, and D. C. Parkes,
“Learning Representations by Humans”, in ICML 2021, 2021, pp. 4227–4238.
S. Hilgard, N. Rosenfeld, M. R. Banaji, J. Cao, and D. C. Parkes,
“Learning Representations by Humans”, in ICML 2021, 2021, pp. 4227–4238.
J. Zou, R. Meir, and D. C. Parkes,
“Approval Voting Behavior in Doodle Polls”, in Proc. 5th Int. Workshop on Computational Social Choice (COMSOC’14), 2014.
J. Zou, R. Meir, and D. C. Parkes,
“Approval Voting Behavior in Doodle Polls”, in Proc. 5th Int. Workshop on Computational Social Choice (COMSOC’14), 2014.
Y. Liu, G. Radanovic, C. Dimitrakakis, D. Mandal, and D. C. Parkes,
“Calibrated fairness in Bandits”, in Proceedings of the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning (Fat/ML 2017), 2017.
Y. Liu, G. Radanovic, C. Dimitrakakis, D. Mandal, and D. C. Parkes,
“Calibrated fairness in Bandits”, in Proceedings of the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning (Fat/ML 2017), 2017.
R. Abebe, J. M. Kleinberg, and D. C. Parkes,
“Fair Division via Social Comparison”, in Proc. 16th Conf. on Autonomous Agents and Multiagent Systems (AAMAS’17), 2017, pp. 281–289.
R. Abebe, J. M. Kleinberg, and D. C. Parkes,
“Fair Division via Social Comparison”, in Proc. 16th Conf. on Autonomous Agents and Multiagent Systems (AAMAS’17), 2017, pp. 281–289.