A two-dimensional framework for evaluating AI applications maps technical performance (does it work as claimed, is it overhyped, or is it snake oil) against ethical implications (harmful because it doesn't work vs. harmful because it works well); harmful applications include video interviews for hiring, criminal risk prediction, AI cheating detection, and mass surveillance with facial recognition, while benign applications that work well like autocomplete fade into the background.