Biases in human perception of facial age are present and more exaggerated in current AI technology.

ABSTRACT: Our estimates of a person's age from their facial appearance suffer from several well-known biases and inaccuracies. Typically, for example, we tend to overestimate the age of smiling faces compared to those with a neutral expression, and the accuracy of our estimates decreases for older faces. The growing interest in age estimation using artificial intelligence (AI) technology raises the question of how AI compares to human performance and whether it suffers from the same biases. Here, we compared human performance with the performance of a large sample of the most prominent AI technology available today. The results showed that AI is even less accurate and more biased than human observers when judging a person's age-even though the overall pattern of errors and biases is similar. Thus, A

SUBMITTER: Ganel T 

PROVIDER: S-EPMC9800363 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature