Recently, we held our very first webinar of 2023 with Dr. Joshua Loftus from LSE. Thank you to all who managed to attend the webinar series and made it an interactive platform with lots of questions and ideas discussed. You can catch the full video recording below 👇
The talk was on "Causal Models for Fairness and Interpretability in Machine Learning". Dr Joshua Loftus discussed the role of causal models in addressing fairness and interpretability in machine learning. Key points included the use of structural causal models to define counterfactual fairness, assess constraints of algorithmic fairness, and examine limitations of popular interpretable machine learning tools.
Don't want to miss out on any future Statistical Methods theme activities?
Stay up to date by joining the #theme-statistical-methods channel on our Slack workspace.