Algorithmic Fairness in Distribution of Resources and Tasks
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. Early Career. Pages 8541-8546.
https://doi.org/10.24963/ijcai.2024/979
Keywords
- Agent-based and Multi-agent Systems: MAS: Resource allocation
- Game Theory and Economic Paradigms: GTEP: Fair division
- Game Theory and Economic Paradigms: GTEP: Mechanism design
Abstract
The widespread adoption of Artificial Intelligence (AI) systems has profoundly reshaped decision-making in social, political, and commercial contexts. This paper explores the critical issue of fairness in AI-driven decision-making, particularly in allocating resources and tasks. By examining recent advancements and key questions in computational social choice, I highlight challenges and prospects in designing fair systems in collective decision-making that are scalable, adaptable to intricate environments, and are aligned with complex and diverse human preferences.
@inproceedings{ijcai2024p979,
title = {Algorithmic Fairness in Distribution of Resources and Tasks},
author = {Hosseini, Hadi},
booktitle = {Proceedings of the Thirty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-24}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Kate Larson},
pages = {8541--8546},
year = {2024},
month = {8},
note = {Early Career},
doi = {10.24963/ijcai.2024/979},
url = {https://doi.org/10.24963/ijcai.2024/979},
}
TY - CPAPER TI - Algorithmic Fairness in Distribution of Resources and Tasks AU - Hosseini, Hadi T2 - Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2024 SP - 8541 EP - 8546 DO - 10.24963/ijcai.2024/979 UR - https://doi.org/10.24963/ijcai.2024/979 ER -Copied
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