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lines changed Original file line number Diff line number Diff line change @@ -9,15 +9,44 @@ export default [
99 post : {
1010 profilePic : teachLogo ,
1111 profilePicName : "Profile Picture - TeachLA Logo" ,
12- header : "Case Study #1: College Admissions " ,
13- subheader : "Robots Reading Your Essays ?" ,
12+ header : "Introduction " ,
13+ subheader : "What did the University of Texas at Austin do ?" ,
1414 bodyText : [
1515 {
16- body : < p className = "bold" > We Will Work On This Case Study!</ p > ,
16+ body : (
17+ < p >
18+ In 2013, the CS department at the University of Texas at Austin implemented the GRADE (GRaduate ADmissions Evaluator)
19+ machine learning system into its Ph.D. admissions process.
20+ </ p >
21+ ) ,
22+ } ,
23+ {
24+ body : (
25+ < p >
26+ Made to reflect the admissions committee’s decisions prior to its implementation in 2013,
27+ issues arose of it{ " " }
28+ < mark className = "underline" >
29+ compounding the initial biases that the admissions committee held,
30+ which disadvantaged applicants from underrepresented groups.
31+ </ mark > { " " }
32+ The department ultimately abandoned GRADE in 2020.
33+ </ p >
34+ ) ,
35+ } ,
36+ {
37+ body : (
38+ < p >
39+ < mark className = "bold" >
40+ In this case study, we will analyze why and how ML models such as GRADE that screen various applications
41+ can undervalue the achievements of underrepresented groups.
42+ </ mark >
43+ </ p >
44+ ) ,
1745 } ,
1846 ] ,
1947 } ,
2048 } ,
49+
2150 {
2251 post : {
2352 profilePic : teachLogo ,
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