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"I'm Not Confident in Debiasing AI Systems Since I Know Too Little":
  Teaching AI Creators About Gender Bias Through Hands-on Tutorials

"I'm Not Confident in Debiasing AI Systems Since I Know Too Little": Teaching AI Creators About Gender Bias Through Hands-on Tutorials

15 September 2023
Kyrie Zhixuan Zhou
Jiaxun Cao
Xiaowen Yuan
Daniel E. Weissglass
Zachary Kilhoffer
M. Sanfilippo
Xin Tong
    FaML
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Papers citing ""I'm Not Confident in Debiasing AI Systems Since I Know Too Little": Teaching AI Creators About Gender Bias Through Hands-on Tutorials"

4 / 4 papers shown
Title
Making Sense of AI Limitations: How Individual Perceptions Shape Organizational Readiness for AI Adoption
Making Sense of AI Limitations: How Individual Perceptions Shape Organizational Readiness for AI Adoption
Thomas Übellacker
50
0
0
21 Feb 2025
"The teachers are confused as well": A Multiple-Stakeholder Ethics
  Discussion on Large Language Models in Computing Education
"The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education
Kyrie Zhixuan Zhou
Zachary Kilhoffer
M. Sanfilippo
Ted Underwood
Ece Gumusel
Mengyi Wei
Abhinav Choudhry
Jinjun Xiong
38
11
0
23 Jan 2024
Uncovering Gender Stereotypes in Video Game Character Designs: A
  Multi-Modal Analysis of Honor of Kings
Uncovering Gender Stereotypes in Video Game Character Designs: A Multi-Modal Analysis of Honor of Kings
Bingqing Liu
Kyrie Zhixuan Zhou
Danlei Zhu
Jaihyun Park
34
3
0
23 Nov 2023
Public Perceptions of Gender Bias in Large Language Models: Cases of
  ChatGPT and Ernie
Public Perceptions of Gender Bias in Large Language Models: Cases of ChatGPT and Ernie
Kyrie Zhixuan Zhou
M. Sanfilippo
26
11
0
17 Sep 2023
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