This semester, I developed interactive tools for students in DSIO 2120 to visualize fairness and bias concepts in AI alongside Nik Marda. Specific tasks include identifying datasets containing proxy variables, injecting synthetic protected variables stochastically, training a multi-layer perceptron model on potentially biased attributes, and implementing feature reweighting techniques to toggle effects of such attributes. The goal is to support an intuitive understanding of contemporary fairness metrics interactively, so there is also development of frontend components. The final deliverable is deployed as a website here.