Academic Journal
Digital Literacy in the Age of AI.
| Τίτλος: | Digital Literacy in the Age of AI. |
|---|---|
| Συγγραφείς: | Sanjana, Nirna, Yadav, Preeti, Gopi, Masanam, KUMARI, SHALU, REDDY, NALLABOLU KRISHNA, Sathibabu, Nargani, Venkata Sathwik, Chebrolu Gangeya Naga |
| Πηγή: | International Journal of Computer Information Systems & Industrial Management Applications; 2026 Supplement, Vol. 18, p328-331, 4p |
| Θεματικοί όροι: | Digital literacy, Artificial intelligence & ethics, Educational technology, Digital divide, Privacy, Statistical bias, Artificial intelligence |
| Περίληψη: | Digital literacy has become an essential skill in today's technology-driven world. With the rise of Artificial Intelligence (AI), the scope of digital literacy has expanded, necessitating a deeper understanding of not only basic technological skills but also AI's implications on society, ethics, and individual decision-making. This research explores the evolving nature of digital literacy in the AI age, emphasizing the need for understanding AI tools, algorithms, data processing, and their ethical implications. It reviews previous studies on digital literacy and AI, highlights the challenges such as data bias, privacy concerns, and the digital divide, and examines the opportunities AI provides in education, workplaces, and social good. The research further discusses strategies for promoting digital literacy, focusing on curriculum development, government-industry partnerships, and raising awareness about AI ethics and security. The goal is to equip individuals with the knowledge and skills required to navigate an AI-driven world responsibly and effectively. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Computer Information Systems & Industrial Management Applications is the property of Cerebration Science Publishing Co., Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
καταχωρήστε σχόλιο πρώτοι!