Towards Fair and Transparent Algorithmic Systems

Towards Fair and Transparent Algorithmic Systems

Yair Zick

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Early Career. Pages 4970-4974. https://doi.org/10.24963/ijcai.2021/705

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.
Keywords:
Agent-based and Multi-agent Systems: Resource Allocation
Agent-based and Multi-agent Systems: Cooperative Games
AI Ethics, Trust, Fairness: Explainability
Agent-based and Multi-agent Systems: Computational Social Choice