Transparent Machines: From Unpacking Bias to Actionable Explainability
Unpack various biases in models and sources of bias.
Investigate techniques to generate actionable explanations of models to reveal potential biases in the models and assist with de-biasing.
https://www.admscentre.org.au/transparent-machines-from-unpacking-bias-to-actionable-explainability/
Multi-party Recommender Systems for Constrained Resources
Recommender system for equitable allocation of constrained resources.
Considerate and Accurate REcommender System (CARES) with social science and behavioural economics lenses.
Transform the sharing economy with improved
user experiences, business efficiency, and
corporate social responsibility.
© 2021 Flora Salim - CRUISE Research Group.
