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This content is available through Read Online (Free) program, which relies on page scans.Since scans are not currently available to screen readers, please contact JSTOR User Support for access. , has raised a controversy after claiming AI can deduce whether people are gay or straight by analysing images of a gay person and a straight person side by side.
Using "deep neural networks" and facial-detection technology, Kosinski and Wang trained an algorithm to detect subtle differences in the images' fixed and transient facial features.
When presented with a pair of participants, one gay and one straight, both chosen randomly, the model could correctly distinguish between them 81% of the time for men and 74% of the time for women.
The percentage rises to 91% for men and 83% for women when the software reviewed five images per person.
In both cases, it far outperformed human judges, who were able to make an accurate guess only 61% of the time for men and 54% for women. Besides the ethical issue of mining of data from public dating websites, the study immediately raises questions of representation and labelling.
First of all, the report didn't look at any non-white individuals, it assumed there were only two sexual orientations — gay and straight — and does not address bisexual individuals.