{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fwomen-in-data-science.simplecast.com%2Fepisodes%2Fjennifer-chayes-eliminating-bias-ead550d1","width":444,"version":"1.0","type":"rich","title":"Jennifer Chayes | Eliminating Bias","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/60e674/60e674ed-f0b1-489e-85b0-5c7203b7e3b5/99f58891-40d7-4240-b65d-468944268cda/1539910364artwork.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/99f58891-40d7-4240-b65d-468944268cda\" height=\"200\" width=\"100%\" title=\"Jennifer Chayes | Eliminating Bias\" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"Jennifer Chayes, a technical fellow and managing director at Microsoft Research believes data scientists should build algorithms with Fairness, Accountability, Transparency, and Ethics – or FATE.\r\n\r\n"}