---
title: "Towards Fair and Transparent Algorithmic Systems"
authors:
  - "Yair Zick"
doi: "10.24963/ijcai.2021/705"
url: "https://ijcai.org/proceedings/2021/705"
pdf: "https://ijcai.org/proceedings/2021/0705.pdf"
venue: "Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"
year: 2021
pages: "4970-4974"
track: "Early Career"
keywords:
  - "Agent-based and Multi-agent Systems: Cooperative Games"
  - "AI Ethics, Trust, Fairness: Explainability"
  - "Agent-based and Multi-agent Systems: Computational Social Choice"
  - "Agent-based and Multi-agent Systems: Resource Allocation"
---

# Towards Fair and Transparent Algorithmic Systems

Yair Zick

*Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence*, pages 4970-4974. DOI: [10.24963/ijcai.2021/705](https://doi.org/10.24963/ijcai.2021/705)

## Abstract

My research in the past few years has focused on fostering trust in algorithmic systems. I often analyze scenarios where a variety of desirable trust-oriented goals must be simultaneously satisfied; 
for example, ensuring that an allocation mechanism is both fair and efficient, or that a model explanation framework is both effective and differentially private. 
This interdisciplinary approach requires tools from a variety of computer science disciplines, such as game theory, economics, ML and differential privacy.