Summary

One of our responsibilities as software engineers is to ensure that we develop software systems that contribute to the greater good of society. We love working with technology development, but the technology needs to be developed responsibly. In this chapter, we looked at the concept of bias in ML and how to work with it. We looked at the IBM Fairness framework, which can assist us in identifying bias. We also learned that automated bias detection is too limited to be able to remove bias from the data completely.

There are more frameworks to explore and more studies and tools are available every day. These frameworks are more specific and provide a means to capture more domain-specific bias – in medicine and advertising. Therefore, my final recommendation in this chapter is to explore the bias frameworks that are specific to the task at hand and for the domain at hand.