Abstract

The integration of Artificial Intelligence (AI) into humanities research has significantly transformed traditional methods of inquiry, enabling large-scale data analysis, text interpretation, and digital preservation. AI-powered tools such as machine learning and natural language processing have enhanced efficiency and opened new possibilities for interdisciplinary research. However, this rapid adoption also raises critical ethical challenges. One major concern is the reliability and authenticity of AI-generated outputs, as these systems depend heavily on the quality and bias of the data they are trained on. Algorithmic bias can lead to misrepresentation or exclusion of certain cultural, social, or historical perspectives, thereby affecting the integrity of research in the humanities. Issues of authorship and intellectual property further complicate the use of AI, as it becomes difficult to determine ownership of AI-assisted work. Additionally, concerns related to data privacy and the ethical use of sensitive cultural information demand careful consideration. The increasing dependence on AI also poses a risk to human critical thinking and interpretative skills, which are central to humanities research. Therefore, it is essential to adopt a balanced approach that combines technological innovation with ethical responsibility. This paper argues that while AI offers valuable tools for advancing humanities research, its use must be guided by transparency, accountability, and rigorous academic standards to ensure credible and inclusive knowledge production.

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