Generative AI, communication, and stereotypes: Learning critical AI literacy through experience, analysis, and reflection

被引:0
|
作者
Hu, Yifeng [1 ]
机构
[1] Coll New Jersey, Dept Commun Journalism & Film, Ewing, NJ 08618 USA
关键词
D O I
10.1080/17404622.2024.2397065
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
This assignment is integrated into the generative AI unit of the Emerging Communication Technologies course. It includes step-by-step designs and reflective examples from students, highlighting the evolution of their perceptions of generative AI. The assignment uniquely focuses on understanding and raising awareness of stereotypes present in AI-generated images. Through experiential, analytical, and reflective learning, students build confidence and competence in interacting with various AI tools, acquire skills in AI-human communication and prompting, and develop critical thinking abilities to identify and mitigate stereotypes generated by AI.CoursesEmerging Communication Technologies; Human-Computer Interaction; Communication and Technology; New Media; Digital Humanity; Digital Literacy; Media Literacy.ObjectivesThrough these activities, students will (1) reduce fear or discomfort about interacting with generative AI, (2) familiarize themselves with popular generative AI tools, (3) understand characteristics of human-AI interaction, (4) recognize AI fallibility in producing stereotypes, and (5) think critically about identifying and preventing AI-generated stereotypes.
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页数:7
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