By Karen Sternheimer

As a social scientist, I like data. If you can quantify something, I’m interested. Data is the foundation of sociology: we are not making casual observations and calling it science; we empirically gather data and look for patterns.
You might have learned about the concepts of validity and reliability in a research methods class. Validity requires that something actually measures what we say it measures. For instance, it’s clear that stepping on a scale is not a valid measure intelligence. Reliability requires that our measure is consistent. Using the scale analogy, it should give us the same result if we step on it a few minutes later. If not, the scale is off.
Continue reading “When AI isn’t so I: Health Data Reliability and Validity”


