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CSETv1_Annotator-1 Taxonomy Classifications
Taxonomy DetailsIncident Number
167
Special Interest Intangible Harm
yes
CSETv1_Annotator-2 Taxonomy Classifications
Taxonomy DetailsIncident Number
167
Notes (special interest intangible harm)
The algorithm was meant to discern, from facial images, if people were gay.
Special Interest Intangible Harm
maybe
GMF Taxonomy Classifications
Taxonomy DetailsKnown AI Goal Snippets
(Snippet Text: Presented with photos of gay men and straight men, a computer program was able to determine which of the two was gay with 81 percent accuracy, according to Dr. Kosinski and co-author Yilun Wang’s paper., Related Classifications: Behavioral Modeling, Snippet Discussion: Pairwise classification)
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Michal Kosinski felt he had good reason to teach a machine to detect sexual orientation.
An Israeli start-up had started hawking a service that predicted terrorist proclivities based on facial analysis. Chinese companies were developing fac…
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