Episode 14: Bias

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In this episode we discuss bias: what it means, why we all have it, and some of the different types that there are, including unconscious bias and stereotype threat. It can effect datasets and then lead to (at best) unexpected and (at worst) disastrous results.
Would 'blind' pull requests be a good idea for dev teams, or an open source community such as Umbraco? Would anonymous contributions encourage more people, or reduce their motivation to contribute?
We all did our homework before recording by taking Harvard's "Implicit Association Test" and recommend you have a go yourself (link below).
If you have any feedback, comments or questions you can tweet us @candidcontribs, email hello@candidcontributions.com or join the Umbraco Community slack channel #candid-contributions
Links
Harvard's Implicit Association Test - https://implicit.harvard.edu/implicit/uk/
Thinking Fast and Slow by Daniel Kahneman - https://www.goodreads.com/book/show/11468377-thinking-fast-and-slow
Russell McClain's TEDx Talk on Implicit Bias, Stereotype Threat and Higher Education - https://www.ted.com/talks/russell_mcclain_implicit_bias_stereotype_threat_and_higher_education
Happy: Why More or Less Everything is Absolutely Fine by Derren Brown - https://www.goodreads.com/book/show/30142270-happy
Invisible Women by Caroline Criado Perez - https://www.goodreads.com/book/show/41104077-invisible-women
NY Times article on the importance of diverse teams - https://www.nytimes.com/2019/06/17/business/artificial-intelligence-bias-tech.html
Sway: Unravelling Unconscious Bias by Pragya Agarwal - https://www.goodreads.com/book/show/49678279-sway
Dr Denae Ford's research on pull request reviews - https://blog.denaeford.me/2019/07/01/how-programmers-really-look-at-pull-requests/
Mozilla's Blind Review Experiment - https://blog.mozilla.org/blog/2018/03/08/gender-bias-code-reviews/

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