インシデントのステータス
GMF 分類法のクラス
分類法の詳細Known 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)
CSETv1_Annotator-1 分類法のクラス
分類法の詳細Incident Number
167
Special Interest Intangible Harm
yes
CSETv1_Annotator-2 分類法のクラス
分類法の詳細Incident 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
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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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Did our AI mess up? Flag the unrelated incidents