Fair, Debiased, and Explainable AI in Automated Decision Making Systems

Nov 23, 2021

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.


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.


Main Participants

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© 2021 Flora Salim - CRUISE Research Group.