The question “Could we achieve fairness in our automatic decision-making?” continues to be on minds of many decision intelligence partitioners. Jacob Feldman in his new post “How decision models deal with fairness” looks at 7 real-world decision-making applications in development of which was involved. Majority of these applications dealt with complex business problems in which “fairness” was presented (or not) in clearly defined business objectives. Geoffrey De Smet considers “What is fair?” in the context of employee scheduling. From cashiers to nurses to police officers: everyone demands a fair shift schedule. He refers to the new article “Load balancing and fairness in constraints” from Timefold in which they define constraints that penalize possible solutions based on their unfairness. The overwhelming interest in the above publications shows that decision fairness will continue to be a hot topic.