Citation :

Aditya Punj, "Do Younger Users Trust AI More? A Study on Age and AI-Based Bot Perception," International Journal of Computer & Organization Trends (IJCOT), vol. 15, no. 3, pp. 1-8, 2025. Crossref, https://doi.org/10.14445/22492593/IJCOT-V15I3P301

Abstract

The increasing presence of AI-based bots in daily life is met with varying levels of trust across different demographics. While younger individuals are the primary users of AI-powered conversational agents, the extent to which age influences trust in these technologies remains underexplored. This study investigates how trust in AI-based bots varies between younger (10–20 years old) and older (40–50 years old) individuals. A quantitative survey was conducted across respondents assessing trust through four key parameters: understanding and baseline trust, trust in developers and algorithms, privacy and data security, and perceived impact on society. Data analysis, including t-tests, revealed significant differences in trust, particularly in the parameters of trust in developers and algorithms, and confidence in privacy and data security. Both these parameters indicated greater levels of trust in AI-based bots among the younger age group. These findings highlight the need for AI developers to enhance transparency and privacy measures to build trust among older users. Understanding these trust differentials is essential for improving AI adoption across age groups and ensuring ethical and effective AI deployment.

Keywords

AI-Based bots, Algorithms, Demographics, Privacy, Trust.

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