Critical AI Literacy: Preparing Learners for Algorithmic Societies | ||
| Journal of Cyberspace Studies | ||
| دوره 8، شماره 2، مهر 2024، صفحه 371-397 اصل مقاله (453.81 K) | ||
| نوع مقاله: Original article | ||
| شناسه دیجیتال (DOI): 10.22059/jcss.2024.102582 | ||
| نویسندگان | ||
| Melika Khodabin1؛ Mohammad Sharif Sharifi Poor Bgheshmi* 2؛ Forough Movahedzadeh3 | ||
| 1Department of South-East Asian and Oceanarium Studies, Faculty of World Studies, University of Tehran, Tehran, Iran. | ||
| 2Department of Civil Engineering, Islamic Azad University, Qeshm Branch, Iran | ||
| 3Department of Journalism, Allameh Tabataba'i University, Tehran, Iran. | ||
| چکیده | ||
| This study highlights the urgent need to redefine media literacy frameworks to address AI-generated content, algorithmic bias, data privacy, and ethical considerations. Key findings reveal a consensus on core competencies, including critical evaluation of AI outputs, understanding algorithmic transparency, and fostering ethical engagement with AI technologies. However, challenges such as fragmented definitions of AI literacy, lack of standardized curricula, and unequal access to resources persist. The review underscores the importance of multidisciplinary collaboration to develop inclusive, adaptive pedagogical models that bridge technical and sociocultural dimensions. Innovative approaches, such as experiential learning and arts-integrated methodologies, show promise in cultivating critical AI literacy. The study calls for longitudinal research, cross-cultural studies, and policy initiatives to ensure equitable and effective integration of AI literacy into education, empowering individuals to navigate and shape AI-mediated digital societies responsibly. | ||
| کلیدواژهها | ||
| AI literacy؛ algorithmic bias؛ digital citizenship؛ ethical engagement؛ media literacy | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 726 تعداد دریافت فایل اصل مقاله: 317 |
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