In July I got a tip introducing me to the paper 'A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle' (Suresh & Guttag, 2021). It contains a very useful diagram outlining where and how bias will affect the outcome of the machine learning process. I could not help but apply my own visual interpretation to it for use in teaching. Feel free to use it to understand why and how so-called AI tools may contribute to harm.

I contacted the authors, Harini Suresh and John Guttag, and have their approval for my reimagination of their chart. For an in-depth understanding of the different biases I recommend diving into their paper (linked in the post).

In my post I provide a brief overview of the biases that the diagram addresses. You can also download the diagram in PDF-format.

https://axbom.com/bias-in-machine-learning/

#DigitalEthics #AIEthics