Navigating Unconscious Bias in Open Source Communities
summary
Lists common biases by name—Affinity bias, ageism, anchor bias, gender bias, contrast effect, horn and halo effects—and argues they routinely skew who gets asked questions, invited to speak, or trusted. Introduces a PAUSE framework with steps to notice, determine, block, broaden perspective and respectfully call out bias, and references the SPACE2 Model of Inclusion as a practical lens for community changes. Emphasizes concrete actions (reflect, interfere before decisions, decide collectively) rather than vague exhortations.
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chapters (3)
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