The adoption of AI has enabled industries to redefine the way they do business, and the insurance industry is no different. The emergence of new forms and combinations of data raises questions on data quality, privacy and usage. The complexity of AI systems raises concerns of a lack of transparency and explain ability. As the insurance industry increasingly relies on AI models to make or recommend such decisions, the risk of unfair bias is being shifted away from human decision-making and to the AI models and the algorithms that underlie them. Delve into real-world examples of such biases, and understand a formal process which, if followed, will likely mitigate much of that bias.