Assessing Artificial Intelligence Risk Perception Among Generation Z in Delhi NCR

Mehak  Sachdeva; Anil  Kumar Garg

Abstract

This study examines the risk perception of Artificial Intelligence (AI) among Generation Z in the Delhi National Capital Region (NCR), a demographic that is highly engaged with digital technologies and AI-driven applications. The research aims to identify key concerns, attitudes, and awareness levels related to the societal, ethical, and technological implications of AI. A descriptive research design was adopted, integrating both qualitative and quantitative approaches to ensure a comprehensive analysis. Primary data were collected from 120 respondents through structured questionnaires, supplemented by secondary sources to strengthen the conceptual framework. Analytical tools, including NVivo 11 for qualitative insights and SPSS along with Microsoft Excel for quantitative analysis, were employed to interpret the data. The findings reveal that Generation Z demonstrates a balanced yet cautious outlook toward AI. While respondents acknowledge the potential of AI to enhance decision-making, efficiency, and management of complex systems, significant concerns persist regarding job displacement, algorithmic bias, lack of transparency, data privacy risks, and system reliability. Notably, the lack of transparency in AI algorithms emerged as a major concern, reflecting growing awareness about explainability and accountability. The study underscores the need for robust regulatory frameworks, ethical governance, and increased digital literacy to foster trust and responsible AI adoption. Overall, the research highlights the importance of aligning technological advancements with societal expectations to ensure sustainable and ethical integration of AI.

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