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Decision Making.
AI systems are deployed into the real world and their decisions affect the ecosystem in which they operate. While this means they could do harm, model predictions can also be leveraged to improve systemic and individual outcomes.
I am interested in…
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Comparing model performance across different data cohorts
Detecting which features are most important in my model’s predictions
Observing how changes in the attributes of a datapoint affects my model’s prediction (what-if analysis)
Seeing similar datapoints that have received different model predictions
Understanding cohorts where the model has performed very poorly (cohort with higher error rates)
Understanding model predictions for a specific data point
