<b> We have presented a tutorial on <a href="https://auditing-fairness-tutorial.github.io">auditing bias in machine learning</a> in IJCAI 2023. </b> Presenters: Bishwamittra Ghosh and Debabrota Basu. <br> In this tutorial, we address three questions on bias in machine learning: (i) Choosing a compatible fairness metric based on application context, (ii) Formally quantifying fairness with respect to the compatible metric, and (iii) Explaining the sources of unfairness corresponding to the metric.