Artificial Intelligence, Machine Learning, Bias, Explainability, Transparency.
result of an AI algorithm, and get to the details around how and why was a certain decision made, what assumptions were made, which combinations of data led to the said result. How can firms combat bias in their algorithms? Start by asking questions — does my model have an all-inclusive dataset