This study investigates how generative models in AI reshape beliefs and social values, suggesting ethical approaches.
Today, the impact of information technologies (IT) on humanity in this artificial intelligence (AI) era is vast, transformative, and remarkable, especially on human beliefs, practices, and truth discovery. Modern IT advancements like AI, particularly generative models, offer unprecedented opportunities to influence human thoughts and to challenge our entrenched worldviews. This paper seeks to study the evolving relationship between humans and non-human agents, such as AI systems, and to examine how generative technologies are reshaping the dynamics of knowledge, authority, and societal interaction, particularly in contexts where technology intersects with deeply held social values. In the study, the broader implications for societal practices and ethical questions will be zoomed in for investigation and discussed in the context of moral value as the focus. The paper also seeks to list out the various generative models developed for AI to reason and think logically, reviewed and evaluated for their potential impacts on humanity and social values. Two main research contributions, namely the (1) Virtue Ethics-Based Character Modeling for Artificial Moral Advisor (AMA) and the (2) Direct Preference Optimization (DPO), have been proposed to align contemporary large language models (LLMs) with moral values. The construction approach of the moral dataset that focused on virtue ethics for training the proposed LLM will be presented and discussed. The implementation of the AI moral character representation will be demonstrated in future research work.
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Chong et al. (2025) studied this question.
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