stdClass Object
(
    [id] => 15300
    [paper_index] => 202503-01-020495
    [title] => AN ANALYTICAL STUDY OF ARTIFICIAL INTELLIGENCE AWARENESS IN STUDENT
    [description] => 
    [author] => Dr. Sushil Bhimrao Bansode, Mr. Vinayak Jayram Mahadik
    [googlescholar] => 
    [doi] => 
    [year] => 2025
    [month] => March
    [volume] => 11
    [issue] => 3
    [file] => fm/jpanel/upload/2025/March/202503-01-020495.pdf
    [abstract] => This exploratory study delves into the nuances of students' perceptions, understanding, and sentiments towards Artificial Intelligence (AI), a transformative technology revolutionizing numerous aspects of modern life. A comprehensive survey of 70 students unveiled a remarkably high level of awareness and fascination with AI, with a staggering 97% of respondents demonstrating familiarity with the concept. Moreover, an overwhelming majority (86%) expressed a keen interest in acquiring more knowledge about AI, while 74% reported utilizing AI-based applications in their daily lives. However, the study also brought to light pressing concerns among students, including the potential for job displacement, privacy issues, and bias in AI algorithms. This research underscores the imperative need for educational institutions to seamlessly integrate AI into their curricula, provide unparalleled access to AI-related education and training, and address the burgeoning concerns surrounding AI. Furthermore, policymakers and regulators must establish clear, comprehensive, and enforceable guidelines and regulations to ensure the safe, responsible, and ethical development and deployment of AI.
    [keywords] => Artificial Intelligence (AI), awareness, knowledge, attitudes, education, regulation, job displacement, privacy issues, bias, ethical considerations 
    [doj] => 2025-03-12
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 33
    [journal_id] => 1
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Multidisciplinary Research (IJMR)
    [short_code] => IJMR
    [eissn] =>  2455-3662 (Online)
    [pissn] => - --
    [home_page_wrapper] => images/products_image/11.IJMR.png
)
Error fetching PDF file.