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Riding AI to Utopia or Dystopia? NLP, LLM and News Informatics Insights for Artificial Intelligence Impacts on Education, Healthcare, Robotics and Careers, Changing Human Society
Journal article   Open access   Peer reviewed

Riding AI to Utopia or Dystopia? NLP, LLM and News Informatics Insights for Artificial Intelligence Impacts on Education, Healthcare, Robotics and Careers, Changing Human Society

Tanya Khanna, Zarak Khan, Udit Goel, Jim Samuel, Julia Esguerra, Radha Jaganathan and Soumitra Bhuyan
Journal of Big Data and Artificial Intelligence, Vol.4(1)
05/19/2026

Abstract

Artificial Intelligence (AI) is accelerating societal transformation at an unprecedented pace, generating both utopian aspirations and dystopian anxieties. Human civilization has undergone fundamental changes through every technological revolution starting with the Industrial Age and continuing through the digital era as AI emerges as the next paradigm shift. This paper studies the public discourse on AI by analyzing extensive news headlines on AI using natural language processing (NLP) methods. Our research applies sentiment analysis and topic modeling to a global dataset across education, healthcare, robotics, careers, and society to identify the dominant narratives shaping public perception. Media coverage presents AI as a dual force that brings human benefits and existential dangers according to our research findings. By moving beyond the utopia-dystopia dichotomy, we show that AI's social effects will emerge from the dynamic relationship between governance systems, ethical protections, and human-enhancive AI (HEAI) frameworks. We provide practical insights about AI's future impact and present strategies for maximizing AI benefits while mitigating its risks.
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03-Article_Khanna_AI_Utopia_2026_Vol_41.39 MBDownloadView
Version of Record (VoR) Journal of big data and artificial intelligence Open Access
url
https://doi.org/10.54116/jbdai.v4i1.56View
Version of Record (VoR) Journal of big data and artificial intelligence Open
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