This is common in any field involving designing algorithms, tools, or rules/laws.

The group of people effected by or using the end product is often very different from the people building the product, and they don't do effective market research or quality management to make up for that, so the result misses the mark.

It's also not an answer to just "have hiring diversity" because, for example, having a woman on the team doesn't mean they will be any good at empathizing with other women. Maybe they just have a political ax to grind or are socially inept, so adding them to the team makes the result worse, instead of better.