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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18638070 |
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Table of Contents:
- <p><em><span>AI tools—ChatGPT, learning apps, resume screeners—are now part of almost every student’s routine here. They make studying faster and sometimes easier, but they also bring real problems when there’s no proper ethical oversight. Recent reports and surveys from 2025–2026 show clear issues: many students use AI to complete assignments and exams with almost no original work, which hurts genuine learning and critical thinking; a large number (up to 88% in some youth surveys) turn to AI chatbots when they feel stressed or anxious, but this can increase feelings of isolation, shorter attention spans, and mental fatigue; entry-level jobs in IT and tech have already dropped by 20–25% because of automation, leaving fresh graduates worried about their future; AI systems sometimes carry forward biases related to caste, gender, or background, making opportunities even harder for students from rural areas or marginalized communities; and deepfakes along with AI-generated misinformation are spreading fast on social media, confusing young people and damaging trust. With over 40 million students in higher education across India, these challenges affect a huge number of young adults at a very important stage of life. Moral responsibility—meaning developers, companies, colleges, and the government must build AI that is transparent, fair, safe, and does no harm—is not optional. Without it, AI risks making existing pressures worse: weaker skills, poorer mental health, fewer jobs, unfair treatment, and less reliable information. It is important to take ethics seriously right now—through better design, regular bias checks (especially for Indian realities like caste), clear rules, and shared accountability—AI can actually help students learn better, find good careers, and grow confidently instead of holding them back. </span></em></p>