IJCAI 2024poster0 citations
Algorithmic Fairness in Distribution of Resources and Tasks
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.
Game Theory and Economic Paradigms: GTEP: Fair divisionGame Theory and Economic Paradigms: GTEP: Mechanism designAgent-based and Multi-agent Systems: MAS: Resource allocation
BibTeX
@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},
}