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Homework answers / question archive / I am a master’s student at a Technical University in Germany
I am a master’s student at a Technical University in Germany. My task is to plot different visualizations for the IBM AIFairness 360 tool. Below are the complete details-
Right now, the bias and fairness is visualized as below in IBM AIF360 tool:
For detailed information about IBM AIF360 tool please refer:
You can access the API, code, demo, tutorials etc
TASK: I have to create visualizations that looks like below image. In the sense, it should show the different fairness metrics (From IBM tool i.e., Disparate Impact, Average Odds Difference, Equal Opportunity difference, Statistical parity difference) and a similar visualization. This visualization is interactive in nature. When the person clicks on the button the visualization changes accordingly.
For this visualization, the attributes can be converted into binary values.
Any libraries like D3.js, Bokeh, Plotly along with Python can be used.
Please refer the documentation of below visualization here-
https://research.google.com/bigpicture/attacking-discrimination-in-ml/
NOTE: The color and design can change accordingly. Or even a new kind of visualization similar to this is okay. It is not an issue. But I am mainly looking for similar visualization where one can identify bias for each fairness metric and is interactive.