Artificial Intelligence, Machine Learning, Bias, Explainability, Transparency.
Is the algorithm or the data fed to the AI fair and unbiased? Is the dataset expansive and inclusive? what modelling techniques were used? risk management — risk mitigation in event of inaccurate or bad results; what are the ramifications and the corresponding plan of action due to the inaccuracy