Author(s): Kanwar Ahaan Singh

Abstract: Artificial intelligence (AI) is revolutionizing adolescent mental health, with Gen AI being a significant breakthrough. Research shows that 12-30% of school-aged children experience anxiety, impacting academic performance. Over 50% of mental health illnesses occur before age 14, with most manifesting before age 25. Early detection and prompt treatment are crucial for this age group, and schools must enhance mental health initiatives to effectively tackle daily challenges faced by children. The undertaken research objectives are focused on the influence of AI teenager’s mental health, the advantages and disadvantages of AI on teenager’s mental development, and further possible developmental scopes for building better AI for teenagers. The paper has executed primary research techniques to assess socioeconomic factors of desertification and drought in the Himalayan region. Data will be collected through structured questionnaires, likert-type scales, and purposive sampling to understand the challenges faced by specific communities. The study will be conducted online and in-person, with collaboration with local organizations. The analysis will be descriptive and quantitative, using themes to explain selected themes. The research method is primary qualitative, aiming to obtain data from an original source to ensure validity and reliability. The results highlights the need for adolescent-specific AI, incorporating ethical norms, data privacy regulations, and human engagement in mental health support. AI can offer personalized instruction, information accessibility, problem-solving skills improvement, and varied learning methods. However, overuse can hinder critical thinking, privacy and ethics concerns arise from data collection, and AI may spread inaccurate information. Collaboration between psychologists, educators, and teens is crucial for creating compassionate AI technologies and addressing the digital divide.

DOI: 10.33545/27076571.2024.v5.i2b.106

Pages: 129-135 | Views: 3100 | Downloads: 2114

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