The Future of Artificial Intelligence (AI) in Humanities and Social Sciences Education

This chapter critically explores the evolving role of Artificial Intelligence (AI) in Humanities and Social Sciences (HSS) education. It begins by situating AI within broader historical and epistemological debates, particularly the tension between algorithmic rationality and humanistic inquiry. The early sections interrogate how AI technologies challenge traditional pedagogical roles and institutional norms, while also raising questions about the changing identity of disciplines. Drawing from real-world examples such as Georgia State University's chatbot “Pounce” and immersive VR-based learning, the chapter evaluates emerging AI-driven pedagogical innovations, including personalized learning platforms, automated feedback systems, and interdisciplinary collaborations. Beyond instructional applications, the chapter delves into the ethical and societal implications of AI integration. Issues of algorithmic bias, data surveillance, and the commodification of learning are examined in relation to longstanding critical traditions in HSS. The discussion then extends to AI's impact on research methodologies—both in enhancing archival access and automating qualitative/quantitative analysis—while also cautioning against over-reliance on decontextualized outputs. Throughout, the chapter foregrounds a human-centered perspective, arguing that AI should augment rather than replace the relational, interpretive, and ethical dimensions of HSS education. The final section offers forward-looking strategies, emphasizing curriculum design, educator agency, institutional governance, and inclusive research futures. By centering critical inquiry and cultural sensitivity, the chapter calls for a balanced, reflective, and contextually aware integration of AI into the educational landscapes of the humanities and social sciences.