Complex faces and naïve machines A commentary on facial perceptions of age, gender, and leader preferences in the age of AI

Brian R. Spisak

doi:10.1017/pls.2021.30

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Brian R. Spisakhttps://orcid.org/0000-0002-6628-2034^1,*

¹Harvard University; HSC Analytics

^*Correspondence: Brian R. Spisak, Harvard University, Cambridge, MA, USA. Email: bspisak@hsph.harvard.edu

Abstract

Tasks driven by artificial intelligence (AI), such as evaluating video job interviews, rely on facial recognition systems for decision-making. Therefore, it is extremely important that the science behind this technology is continually advancing. If not, visual stereotypes, such as those associated with facial age and gender, will lead to dangerous misapplications of AI.

Citation Download Citation

Brian R. Spisak "Complex faces and naïve machines
A commentary on facial perceptions of age, gender, and leader preferences in the age of AI," Politics and the Life Sciences 41(1), 147-149, (2 March 2023). https://doi.org/10.1017/pls.2021.30

Published: 2 March 2023