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TUE08 - The Truth About False Positives (and Negatives): Methods to Safely Reduce Them

‐ Sep 24, 2019 11:50am

• Examining potential systemic causes of excessive false positive generation such as inadequate legacy systems or miscalibrated risk models to develop data-driven response plans

• Supplementing rules-based monitoring with artificial intelligence, machine learning and predictive modeling to enhance oversight accuracy and efficiency and reduce false positives

• Auditing results of false positive mitigation efforts to identify and rectify potential unfavorable outcomes such as algorithmic deficiencies that produce unjustified false negatives



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