If you refer to sample people to explain concepts (such as Eve the Eavesdropper), select names and personas that are diverse in gender, race, and nationality or are gender-, race-, and nationality-neutral

Using the same names/personas every time can subtly reinforce bias and discrimination within computer science and academia.
- For example, always naming the sample programmer "Peter" instead of "Mary" in homework problems sends the message to students that women aren't programmers.
- As another example, always naming the sample programmer "Mary" instead of "Maria" in homework problems sends the message to students that Latinxs aren't programmers.
Give an even number of characters feminine, gender-neutral, and masculine names and pronouns.
Non-human characters, such as the school mascot, cartoons, and animals, can be good identity-neutral characters to use in examples.

You can avoid gendering these characters by naming them things like Fluffy and Flash.

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