Research on fairness, accountability, transparency and ethics of AI-base...
The ethical concept of fairness has recently been applied in machine lea...
Rising concern for the societal implications of artificial intelligence
...
Although essential to revealing biased performance, well intentioned att...
A growing body of work shows that many problems in fairness, accountabil...
From massive face-recognition-based surveillance and machine-learning-ba...
Viral diseases are major sources of poor yields for cassava, the 2nd lar...
We introduce a simple framework for identifying biases of a smiling attr...
Trained machine learning models are increasingly used to perform high-im...
Currently there is no standard way to identify how a dataset was created...
We present a crowdsourcing workflow to collect image annotations for vis...
Targeted socioeconomic policies require an accurate understanding of a
c...
While fine-grained object recognition is an important problem in compute...
The United States spends more than 1B each year on initiatives such as t...