I get what you mean, regardless of wording. People should be seen as individuals. I don't know how we can be blind to aggregate differences enough to not be perturbed when we have unequal outcomes but not so cognizant of them that we demotivate people.

But as I write this, I'm arriving at an answer: we need to recognize that people are making choices based upon who they are and what they like.

As I have read this thread, I keep coming back to how we measure competence and ability.

For example, at one point in history our IQ tests included questions based on baseball rules. So someone taking the test that didn't know the rules of baseball couldn't do well – regardless of their mathematical or logical ability, i.e. what the question was supposedly measuring.

Along those lines, I would strongly:

- recommend listening to the Hanselminutes episode on Women in Technology in the Muslim World (http://hanselminutes.com/203/women-in-technology-in-the-musl...)

- remind people that the first programmer was Ada Lovelace, and computers used to be actual people and mostly female (https://en.wikipedia.org/wiki/Human_computer) & suggest reading some of the reasons this changed (http://www.smithsonianmag.com/smart-news/computer-programmin...)

In other words, culture can strongly impact both perceptions of ability and measurements of ability, as well as impacting the equitable training and opportunity that people are afforded. I suspect that most differences in most fields are not actual sex differences (i.e. biological), but in fact are social differences based on gender (i.e. cultural based on a person's gender identity).

I recently took an artificial intelligence class that required writing an agent to answer non-verbal IQ test questions. One of the greatest challenges was that some of the questions had ambiguous answers. For example, an axial symmetry in the example frame could be reproduced with either a rotation or a mirror operation in the output frame, and both options were available as candidate solutions.

Naturally, the question came up: how do we define the "right" answer when there are multiple valid choices? As it turns out, the folks who write the test determine the correct answer to these types of question based on the most common response from test takers who get the highest scores on non-ambiguous questions. The thinking goes that if folks who get most of the other questions right largely agree about a preference for one answer over the other, that must be the most correct answer.

The most interesting part of that discussion to me was when a classmate observed that we use human intelligence as a baseline for measuring human intelligence, and then marvel at the extent of our own intelligence; if a machine used more sophisticated logic than a human was capable of to choose a different answer, we would look down on the machine for being less intelligent than man. It reminded me very much of Plato and the shadows in the cave.