Understanding Bias in AI Solution Development

Bias in the data preparation phase

Bias may enter the system even before we have started the model-building steps.

During problem formation itself, we need to validate if AI is an ethical solution to this problem.

Data collection and preparation is the stage when a lot of biases creep into the solutions. We need to validate if the data is free of any selection bias and is representative of different segments; there should be no biases in data labels and features getting created.

Let’s explore a few of these using some practical examples: