PYTORCH RESPONSIBLE AI DEVELOPMENT TOOLS
First Place: FairWell
FairWell aims to address model bias on specific groups of people by allowing data scientists to evaluate their dataset and model predictions and take steps to make their datasets more inclusive and their models less biased. 
Second Place: promp2slip
Promp2slip is a library that tests the ethics of language models by using natural adversarial texts. 
Third Place: Phorch
Phorch adversarially attacks the data using FIGA (Feature Importance Guided Attack) and creates 3 different attack sets of data based on certain parameters. These features are utilized to implement adversarial training as a defense against FIGA using neural net architecture in PyTorch.
Honorable Mentions