Practice Context

The author emphasizes the importance of assumptions, perspectives, and biases in data interpretation and visualization. It highlights that even seemingly insignificant design decisions can have political, cultural, and social implications. They also address instances where visual elements, like colors or icons, can inadvertently reinforce stereotypes or exclude certain groups. Furthermore, the text examines the responsibilities of designers in the face of technological biases, such as the difficulties of facial recognition software recognizing diverse faces. It advocates for intentional design efforts to counter these biases, suggesting that designers actively seek out diverse perspectives and challenge their own assumptions to create more inclusive and equitable designs.