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  "documentTitle": "2018 Air Street Capital The State of AI Report 2018",
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  "notes": "Includes logos for WiML and Black in AI.",
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      "text": "Key research labs are not yet making their workforce diversity statistics public.\nThere are limited diversity stats for major machine learning conferences publicly available.\nFor the largest machine learning conference by attendance, NIPS (Neural Information Processing Systems), there is data available on a single dimension of diversity (gender) for the past few years*.\nFor NIPS, the percentage of female attendees was 17% in 2017. This is lower than the technology industry more generally (for example, 31% of Google employees are women and 20% of people in a technical role at Google are women).\nThe percentage of women attending NIPS has risen slightly over the past few years from 13% in 2015 to 17% in 2017.\nThere are various initiatives aiming to increase diversity in machine learning:",
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      "text": "*please let us know if you have similar statistics on other measures of diversity, such as race, that we can add to the report",
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