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.
Cite
Text
Zick. "Towards Fair and Transparent Algorithmic Systems." International Joint Conference on Artificial Intelligence, 2021. doi:10.24963/IJCAI.2021/705Markdown
[Zick. "Towards Fair and Transparent Algorithmic Systems." International Joint Conference on Artificial Intelligence, 2021.](https://mlanthology.org/ijcai/2021/zick2021ijcai-fair/) doi:10.24963/IJCAI.2021/705BibTeX
@inproceedings{zick2021ijcai-fair,
title = {{Towards Fair and Transparent Algorithmic Systems}},
author = {Zick, Yair},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2021},
pages = {4970-4974},
doi = {10.24963/IJCAI.2021/705},
url = {https://mlanthology.org/ijcai/2021/zick2021ijcai-fair/}
}