Accuracy and Trust in Machine Learning
Eric D. Brown
JULY 10, 2018
A few weeks ago, I wrote about machine learning risks where I described four ‘buckets’ of risk that needed to be understood and mitigated when you have machine learning initiatives. One major risk that I *should* have mentioned explicitly is the risk of accuracy and trust in machine learning. While I tend to throw this risk into the “Lack of model variability” bucket, it probably deserves to be in a bucket all its own or, at the very least, it needs to be discussed.
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