Fairness

Presented Master thesis work as part of my defense.

Project that was conducted as part of my Master’s thesis to explore the application of generative models to compute counterfactuals for fairness.

This project explores the case for potential bias in generative models such as variational autoencoders. The project also briefly looks at ways to mitigate such bias.

Mini-project that looks at potential bias in pre-trained word embeddings and methods on how to remove such bias.

Poster presentation on the work related to counterfactuals for fairness.