Fairness in Machine Learning
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351 день – 5246:06Опубликовано 27 сентября 2017, 20:59
Machine learning is increasingly being adopted by various domains: governments, credit, recruiting, advertising, and many others. Fairness and equality are critical aspects, especially in light of anti-discriminatory laws in these domains. Opaque machine learning models: Awareness and mitigation of biases (inherent and perpetuated) is essential.
See more on this video at microsoft.com/en-us/research/v...
See more on this video at microsoft.com/en-us/research/v...
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