Khaoula Chehbouni is a first year PhD Student at McGill University and at Mila under professor Golnoosh Farnadi. Her research interests include responsible artificial intelligence, especially fairness and privacy issues in large language models and generative models. Before that, she worked as a data scientist in the research department of Statistics Canada and completed her master in business intelligence at HEC Montreal, under professors Gilles Caporossi and Golnoosh Farnadi.
SESSION
THIS PRESENTATION WILL BE HELD IN ENGLISH
Towards Inclusive AI: Understanding Bias in Machine Learning Models
Machine learning models encode many biases and amplify them, leading to various societal harms. In this talk, we discuss how biases propagate through the machine-learning pipeline and lead to harm. We also highlight existing mitigation efforts with a focus on large language models.
