Generative AI, Communication, and Stereotypes: Learning Critical AI Literacy through Experience, Analysis, and Reflection
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| Title: | Generative AI, Communication, and Stereotypes: Learning Critical AI Literacy through Experience, Analysis, and Reflection |
|---|---|
| Language: | English |
| Authors: | Yifeng Hu |
| Source: | Communication Teacher. 2025 39(1):6-12. |
| Availability: | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 7 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Descriptive |
| Descriptors: | Artificial Intelligence, Stereotypes, Communications, Student Attitudes, Technology, Consciousness Raising, Media Literacy, Visual Aids, Computer Software, Computer Software Evaluation |
| DOI: | 10.1080/17404622.2024.2397065 |
| ISSN: | 1740-4622 1740-4630 |
| Abstract: | 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. Courses: Emerging Communication Technologies; Human-Computer Interaction; Communication and Technology; New Media; Digital Humanity; Digital Literacy; Media Literacy. Objectives: Through 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. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1456417 |
| Database: | ERIC |
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