Playgrounds and Prejudices: Exploring Biases in Generative AI For Children

被引:0
|
作者
Baines, Alexander [1 ]
Gruia, Lidia [1 ]
Collyer-Hoar, Gail [2 ]
Rubegni, Elisa [2 ]
机构
[1] Univ Lancaster, Lancaster, England
[2] Univ Lancaster, Sch Comp & Commun, Lancaster, England
来源
PROCEEDINGS OF ACM INTERACTION DESIGN AND CHILDREN CONFERENCE, IDC 2024 | 2024年
关键词
Artificial Intelligence; Generative AI; Child-Computer Interaction; Digital Story Telling; Ethics; Bias;
D O I
10.1145/3628516.3659404
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The influence of generative Artificial Intelligence (AI) on the propagation and amplification of societal biases, particularly in the context of children's content creation, is a growing concern. By developing and testing a prototype tool designed to assist children in Digital Storytelling (DST), our research aimed to explore and mitigate the propagation of stereotypes through the use of a character-generating AI tool utilising Stable Diffusion. Despite initial aspirations, the tool demonstrated significant biases inherent in the underlying AI model, leading to the decision against its use by children. The findings we discovered contribute to a broader discourse on the development of ethical AI and its use, advocating for a more responsible and inclusive approach to technological innovation in the context of children's digital media consumption and creation.
引用
收藏
页码:839 / 843
页数:5
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