Understanding how to evaluate and manage algorithmic performance could be the difference between success and failure. This article outlines a six-step approach for defining what to measure and monitor. Central to this approach is to work out where the waste is by measuring failure states. These are critical to monitoring
Tag: algorithmic
Algorithmic Biases: How An Algorithmic Tool Will Be Perceived And Create A Targeted Plan To Build Trust Among Targeted Users
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a pricing algorithm to close the earnings
The Bias In Beauty: To Decode AI’s Racial Bias, Olay Teams Up With Algorithmic Justice Founder Joy Buolamwini
While completing her Master’s Degree at MIT, Joy Buolamwini embarked on an art project with hopes of building the Aspire Mirror, a device that would allow users to project digital masks onto their reflections. But when she began experimenting with the basic facial recognition software needed to program the machine,
