Ethical dimensions of Artificial Intelligence in Social Science: Integrated Digital Pedagogy and Fuzzy System in Decision Making

This paper examines the ethical considerations of the AI in the social science depending on how fuzzy decision-making systems and digital pedagogy are used. This raises such a challenge as the lack of transparency, fairness, and ethical use as the AI-driven tools gain more and more control over the social simulations, learning environment, and behavioral analysis. The given paradigm will accept the ambiguity and complexity of social processes by combining the paradigm of fuzzy logic with AI-enhanced digital pedagogy. Coupled with other ethical issues of data protection, algorithm bias, accountability, and informed permission, this integration would lead to more adaptable learning engagements and more intricate decision aids. The paper determines the need of the ethical principles that promote inclusiveness, interpretability, and equity by examining the connection between fuzzy systems and digital learning in the AI-assisted social science scenario. The results can be applied in the creation of human-friendly AI solutions to improve the result of learning and decision making without infringement on the rights or social values of a person.

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