<ul><li>Predictive process monitoring focuses on forecasting future states of ongoing process executions.</li><li>This work addresses group fairness in predictive process monitoring by investigating independence and ensuring predictions are unaffected by sensitive group membership.</li><li>The study explores independence through metrics such as demographic parity and threshold-independent distribution-based alternatives.</li><li>The effectiveness of fairness metrics and composite loss functions is validated through a controlled experimental setup.</li></ul>

Achieving Group Fairness through Independence in Predictive Process Monitoring

Discover more