Algorithmic Fairness in Distribution of Resources and Tasks
Algorithmic Fairness in Distribution of Resources and Tasks
Hadi Hosseini
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
Early Career. Pages 8541-8546.
https://doi.org/10.24963/ijcai.2024/979
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.
Keywords:
Game Theory and Economic Paradigms: GTEP: Fair division
Game Theory and Economic Paradigms: GTEP: Mechanism design
Agent-based and Multi-agent Systems: MAS: Resource allocation