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Update facial recognition conclusion
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website/src/caseStudies/FacialRecognition.js

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@@ -5,7 +5,6 @@ import PostsList from "../components/mainContent/PostsList";
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import CounterFrame from "../components/posts/FacialRecognition/CounterFrame";
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import { VisibilityProvider } from "../components/mainContent/commonLogic";
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export default function FacialRecognition() {
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return (
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<VisibilityProvider>
@@ -45,7 +44,7 @@ const FacialRecognitionInfo = [
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subheader: "Understanding Bias Through Categorization",
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bodyText: [
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{
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body: <CounterFrame />
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body: <CounterFrame />,
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},
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],
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},
@@ -215,29 +214,26 @@ const FacialRecognitionInfo = [
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{
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body: (
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<p className="bold">
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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do
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eiusmod tempor incididunt ut labore et dolore magna aliqua.
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The Consequences of Bias in Facial Recognition
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</p>
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),
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},
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{
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body: (
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<p>
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Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris
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nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in
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reprehenderit in voluptate velit esse cillum dolore eu fugiat
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nulla pariatur.
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Facial recognition technology has repeatedly been shown to exhibit
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various biases against certain groups, leading to real-world
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consequences such as wrongful identification of suspects or
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determining healthcare. To address these issues, researchers are
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actively working on debiasing facial recognition models as well as
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the data sets they rely on. This involves creating more balanced
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training data and adjusting algorithms so they learn to make
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accurate predictions.
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</p>
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),
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},
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{
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body: (
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<p>
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<mark className="bold">{`TODO: `} </mark>Excepteur sint occaecat
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cupidatat non proident, sunt in culpa qui officia deserunt mollit
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anim id est laborum.
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</p>
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),
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body: <p></p>,
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},
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],
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},

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