Glossary // Glossary term Technical

False positive

A result in which a classifier or test reports that a condition is present when it is absent, for example labelling a neutral face as angry. When the condition is rare in the population being screened, even an accurate classifier can produce more false positives than true positives. In emotion inference, false positives carry particular ethical weight when labels are used in hiring, education, security or policing.

Where the site uses it

Instrumented emotion: why the telemetry here is conceptual
Affective computing promises to infer emotion as if it were a system metric. The evidence on facial movements and autonomic signals, together with questions of consent, explains why every metric in this artifact is an artistic value.
Methods: signals, inference and the limits of detecting a state change
How one could reason about recording a catharsis-like change of state: signals, features, inference and context, baselines, self-report, error costs and ethics, and why every step stays uncertain. Nothing on this site measures anyone.

Studies behind it

The works the definition rests on, with the level of evidence each was appraised at.

Stark, L., & Hoey, J. (2021). The ethics of emotion in artificial intelligence systems. doi:10.1145/3442188.3445939

Level D Theory

Supports the claim that emotion-AI systems depend on contested models of emotion and proxy data, which shapes their ethical implications. A conceptual argument, not an empirical audit of any product.