This paper strives to measure apparent skin color in computer vision, be...
Biases in large-scale image datasets are known to influence the performa...
Speech datasets are crucial for training Speech Language Technologies (S...
Speech AI Technologies are largely trained on publicly available dataset...
Few datasets contain self-identified sensitive attributes, inferring
att...
Human-centric image datasets are critical to the development of computer...
Previous work has shown the potential of deep learning to predict renal
...
As computer vision systems become more widely deployed, there is increas...
When using medical images for diagnosis, either by clinicians or artific...
Harms resulting from the development and deployment of facial processing...
In recent years, there has been increasing interest in causal reasoning ...
The risk of re-offense is considered in decision-making at many stages o...
Given that there are a variety of stakeholders involved in, and affected...
While there has been a flurry of research in algorithmic fairness, what ...
Transparency of algorithmic systems entails exposing system properties t...
As calls for fair and unbiased algorithmic systems increase, so too does...
As machine learning is increasingly deployed in high-stakes contexts
aff...
Past literature has been effective in demonstrating ideological gaps in
...
Explainable machine learning seeks to provide various stakeholders with
...