語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Driving Better Experiences for Black...
~
Whye, Barbara Hickman.
FindBook
Google Book
Amazon
博客來
Driving Better Experiences for Black Women in Technology Through Shaping Better Human Resources (HR) Systems and (AI) Artificial Intelligence Outcomes.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Driving Better Experiences for Black Women in Technology Through Shaping Better Human Resources (HR) Systems and (AI) Artificial Intelligence Outcomes./
作者:
Whye, Barbara Hickman.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:
192 p.
附註:
Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
Contained By:
Dissertations Abstracts International85-06B.
標題:
Black studies. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30694343
ISBN:
9798381161571
Driving Better Experiences for Black Women in Technology Through Shaping Better Human Resources (HR) Systems and (AI) Artificial Intelligence Outcomes.
Whye, Barbara Hickman.
Driving Better Experiences for Black Women in Technology Through Shaping Better Human Resources (HR) Systems and (AI) Artificial Intelligence Outcomes.
- Ann Arbor : ProQuest Dissertations & Theses, 2023 - 192 p.
Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
Thesis (Ph.D.)--Arizona State University, 2023.
This dissertation addresses two pivotal challenges within the US technology industry: racial equity and the rise of artificial intelligence (AI). It investigates whether the integration of AI in human resources (HR) can foster inclusivity and diversity for Black women in the tech workforce. Despite numerous diversity initiatives, Black women account for less than 2% of the US tech workforce, symbolizing a persistent challenge. Furthermore, AI often perpetuates structural biases, magnifying workforce inequities.This dissertation employs intersectionality, responsible innovation, and algorithmic bias theories to amplify the voices of Black women. It poses three critical questions: 1) How have Black women's HR experiences influenced diversity issues in the tech industry? 2) How is AI in HR developed considering the experiences of Black women? 3) What measures can enhance the role of AI in HR to promote diversity without deepening inequalities?Key findings reveal that current HR practices do not adequately serve Black women, driven by competing corporate priorities. Solutions should concentrate on recruiting, developing, promoting, and retaining Black women. Black women acknowledge the potential of AI to either reinforce or mitigate biases, yet they express apprehension about the development and implementation of AI in HR, which often lacks Black women's input.For AI to facilitate positive diversity results, companies must actively involve Black women in its development. This entails understanding the problems Black women face, using insights to design AI that addresses these issues and supports Black women's success, and engaging Black women in the development and assessment of AI implementations in HR, thereby enhancing accountability for diversity outcomes.
ISBN: 9798381161571Subjects--Topical Terms:
2122689
Black studies.
Subjects--Index Terms:
AI policy
Driving Better Experiences for Black Women in Technology Through Shaping Better Human Resources (HR) Systems and (AI) Artificial Intelligence Outcomes.
LDR
:03017nmm a2200385 4500
001
2400327
005
20240924103840.5
006
m o d
007
cr#unu||||||||
008
251215s2023 ||||||||||||||||| ||eng d
020
$a
9798381161571
035
$a
(MiAaPQ)AAI30694343
035
$a
AAI30694343
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Whye, Barbara Hickman.
$3
3770294
245
1 0
$a
Driving Better Experiences for Black Women in Technology Through Shaping Better Human Resources (HR) Systems and (AI) Artificial Intelligence Outcomes.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2023
300
$a
192 p.
500
$a
Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
500
$a
Advisor: Miller, Clark.
502
$a
Thesis (Ph.D.)--Arizona State University, 2023.
520
$a
This dissertation addresses two pivotal challenges within the US technology industry: racial equity and the rise of artificial intelligence (AI). It investigates whether the integration of AI in human resources (HR) can foster inclusivity and diversity for Black women in the tech workforce. Despite numerous diversity initiatives, Black women account for less than 2% of the US tech workforce, symbolizing a persistent challenge. Furthermore, AI often perpetuates structural biases, magnifying workforce inequities.This dissertation employs intersectionality, responsible innovation, and algorithmic bias theories to amplify the voices of Black women. It poses three critical questions: 1) How have Black women's HR experiences influenced diversity issues in the tech industry? 2) How is AI in HR developed considering the experiences of Black women? 3) What measures can enhance the role of AI in HR to promote diversity without deepening inequalities?Key findings reveal that current HR practices do not adequately serve Black women, driven by competing corporate priorities. Solutions should concentrate on recruiting, developing, promoting, and retaining Black women. Black women acknowledge the potential of AI to either reinforce or mitigate biases, yet they express apprehension about the development and implementation of AI in HR, which often lacks Black women's input.For AI to facilitate positive diversity results, companies must actively involve Black women in its development. This entails understanding the problems Black women face, using insights to design AI that addresses these issues and supports Black women's success, and engaging Black women in the development and assessment of AI implementations in HR, thereby enhancing accountability for diversity outcomes.
590
$a
School code: 0010.
650
4
$a
Black studies.
$3
2122689
653
$a
AI policy
653
$a
Black women
653
$a
Human resources Management
653
$a
Intersectionality
653
$a
Responsible innovation
690
$a
0800
690
$a
0454
690
$a
0325
710
2
$a
Arizona State University.
$b
Human and Social Dimensions of Science and Technology.
$3
3175256
773
0
$t
Dissertations Abstracts International
$g
85-06B.
790
$a
0010
791
$a
Ph.D.
792
$a
2023
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30694343
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9508647
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入