Biased models can impact each of us. While it may feel abstract, AI fairness can be achieved through many methods and metrics. More so, mitigation reports can initiate you to responsible AI. Check out my talk & demo at PyData Berlin.
What could possibly go wrong? - An incomplete guide on how to prevent, detect & mitigate biases in data products
Data Ethics: What could possibly go wrong? - An incomplete guide on how to prevent, detect & mitigate biases in data products
Tereza Iofciu, Paula Gonzalez Avalos
Data-driven Products are built by humans. Humans are intrinsically biased. This bias goes into the products, which amplifies the original bias. In this tutorial, you will learn how to identify your biases and reflect on the consequences of unchecked biases in Data Products.