Cultural support is crucial for implementing effective processes in machine learning, particularly regarding fairness. Addressing blind spots in systems requires not only technical solutions but also a focus on data collection and sharing expertise across different teams. The interplay between cultural, process, and technical aspects is essential for developing robust and fair AI systems.
