Machine learning might exacerbate workforce inequities: Study
AuthorSharlene Gandhi
var TRINITY_TTS_WP_CONFIG = {"cleanText":"Machine learning might exacerbate workforce inequities: Study. New research has found that women and those in low-income professions are more likely to be employed in jobs that have a high degree of exposure to machine learning \u2013 and, therefore, risk being automated.\u00a0 Research conducted by the Institute for Work & Health, the Future Skills Centre, and The Dais divided jobs into two categories based on high and low exposure to machine learning. They found that about 12 per cent of the total workforce were completing tasks that may be suitable for machine learning.\u00a0 Part of the federal government\u2019s $2.4 billion AI investment includes $50 million dedicated to providing new skills and training for those whose careers and communities may be
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