Implicit Stereotypes
We hold unconscious associations between social groups and attribute traits without awareness.
An implicit stereotype is the unconscious attribution of particular qualities to a member of a certain social group. Implicit stereotypes are shaped by experience and based on learned associations between various qualities and social categories. Their existence can be measured with the Implicit Association Test (IAT), developed by Greenwald, McGhee, and Schwartz in 1998. Unlike explicit stereotypes, people often deny holding these beliefs even when their behavior reflects them.
What it looks like in the wild.
- Everyday life IAT Name Bias Studies show résumés with traditionally white-sounding names receive 50% more callbacks than identical résumés with traditionally Black-sounding names.
Someone has already built a business on this.
Biases are not only private errors. They are design targets — patterns deliberately engineered into interfaces because they reliably work.
- Algorithms and feeds Proxy Discrimination Machine learning models trained on historical hiring, lending, or policing data encode and automate implicit stereotypes at scale.
Recognising a definition is not the same skill as spotting it.
Two scenarios from the app, with distractors drawn from the same family of biases — which is what makes them hard.
When selecting a team for a high-stakes presentation, the manager overlooks a capable candidate, assuming clients would respond better to a different, more traditional profile.
A hiring manager is surprised that a candidate from a rural area is articulate and well-read.
Biases rarely arrive alone.
Understand more. Assume less.
188 biases, 18,869 scenarios, and a record of how you actually decide.
Get Debias on Google Play