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What We Talk About When We Talk About Bias

(A guide for everyone)

“Ultimately, the goal of researchers, developers, and regulators should be to detect and combat bias along multiple stages of the development pipeline,” writes Ayesha Bajwa, an alumna of Jonathan Zittrain and Joi Ito’s joint course on Ethics and Governance of Artificial Intelligence, in this Medium post. The paper, based on a paper written for the course, outlines multiple perspectives of machine learning bias and couples them with current examples.

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