---
title: "Algorithmic Fairness in Distribution of Resources and Tasks"
authors:
  - "Hadi Hosseini"
doi: "10.24963/ijcai.2024/979"
url: "https://ijcai.org/proceedings/2024/979"
pdf: "https://ijcai.org/proceedings/2024/0979.pdf"
venue: "Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence"
year: 2024
pages: "8541-8546"
track: "Early Career"
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"
---

# Algorithmic Fairness in Distribution of Resources and Tasks

Hadi Hosseini

*Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence*, pages 8541-8546. DOI: [10.24963/ijcai.2024/979](https://doi.org/10.24963/ijcai.2024/979)

## 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.