Before revision:  Attempts to ad-dress such issues have involved testing learned associations, integrating concepts of fairness to machine learning , and performing more rigorous analysis of training data.
After revision:  Attempts to ad-dress such issues have involved testing learned associations, integrating concepts of fairness to machine learning and performing more rigorous analysis of training data.