A Search Engine for Algorithmic Fairness Datasets

Algorithmic equity is a key desideratum for systems embedded in a diverse society producing data with embedded patterns of discrimination. This data is leveraged in algorithmic fairness research with the aim of studying the root causes of undesirable discrimination and developing methods to overcome them. Data documentation is central in supporting discoverability and correct use of existing resources. Documentation debt causes suboptimal data usage, with a negative impact on data-driven research and practice. This work introduces a search engine for algorithmic fairness datasets, describing its scope, functionality, and envisioned use cases, calling for inputs and collaboration within the community for the long-term maintenance and exploitation of this resource.