Failed Scoring: Facial Recognition, Potential for False Positives, & Importance of Design
Last week I wrote a piece on the practice of derived inference, aka scoring; that is, the practice of using computer algorithms to infer insight from data. A key undercurrent of this piece was the issue of false positives. False positives occur when a derived result is presumed to be accurate, aka positive, but it […]