Recode Decode: What men and women need to know about working together

Coding Bias

The tech industry, often seen as a meritocracy, harbors significant biases, particularly in coding assessments. Joanne Lipman highlights a study where anonymous code submissions on GitHub showed women's code was accepted more than men's. However, when names were revealed, men's code was favored, illustrating gender bias in tech 1. This bias extends beyond the workplace, rooted in unconscious biases formed early in life. Lipman notes that parents and teachers often underestimate girls' abilities compared to boys, which impacts their future opportunities 2.

Unconscious bias is bias that we have buried deep inside of us so deeply that we don't even know it exists.

--- Joanne Lipman

Such biases manifest in various ways, affecting women's career advancements and contributing to the gender pay gap.

   

Diverse Hiring

Diverse hiring practices are crucial for addressing biases in tech. Joanne Lipman argues that having a diverse slate of candidates is insufficient without diverse interviewers, as homogeneity among interviewers perpetuates bias 3. She emphasizes the importance of blind hiring, which has proven effective in fields like symphony orchestras, to ensure fair evaluations. Additionally, age discrimination, particularly against women who have taken career breaks, remains a significant issue 4.

You bring in a diverse slate of candidates, but you got a bunch of white guys who all went to Stanford, who are doing the interviewing.

--- Joanne Lipman

Lipman suggests that understanding one's worth and advocating for it is essential, as women often undervalue themselves in professional settings.