Work

Algorithmic Fairness in Distribution of Resources and Tasks

Year: 2024

Type: conference-paper

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.

Source: International Joint Conference on Artificial Intelligence

DOI: 10.24963/ijcai.2024/979

Author: Hadi Hosseini

Institution: Pennsylvania State University

Language: English

Topic: Game Theory and Voting Systems

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: bronze

Funder: National Science Foundation