IJCAI 2021poster0 citations
Towards Fair and Transparent Algorithmic Systems
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.
Agent-based and Multi-agent Systems: Resource AllocationAgent-based and Multi-agent Systems: Cooperative GamesAI Ethics, Trust, Fairness: ExplainabilityAgent-based and Multi-agent Systems: Computational Social Choice
BibTeX
@inproceedings{ijcai2021p705,
title = {Towards Fair and Transparent Algorithmic Systems},
author = {Zick, Yair},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Zhi-Hua Zhou},
pages = {4970--4974},
year = {2021},
month = {8},
note = {Early Career},
doi = {10.24963/ijcai.2021/705},
url = {https://doi.org/10.24963/ijcai.2021/705},
}