Towards Fair and Transparent Algorithmic Systems
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Early Career. Pages 4970-4974.
https://doi.org/10.24963/ijcai.2021/705
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
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.
@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 = {Prof. 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},
}
TY - CPAPER TI - Towards Fair and Transparent Algorithmic Systems AU - Zick, Yair T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 4970 EP - 4974 DO - 10.24963/ijcai.2021/705 UR - https://doi.org/10.24963/ijcai.2021/705 ER -Copied
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