Background and Objectives

Artificial Intelligence (AI) is transforming the humanities and social sciences (HSS), offering unprecedented opportunities to enhance research, cultural understanding, and social progress. AI technologies, such as data analysis, machine learning, and natural language processing, can uncover hidden patterns, automate repetitive tasks, and provide deeper insights into societal and cultural phenomena. These advancements enable researchers and practitioners to explore complex issues with greater precision, from analyzing historical artifacts to understanding cultural trends and addressing societal challenges.

Beyond its technical capabilities, AI holds immense potential to enhance human well-being by facilitating personalized education, promoting cross-cultural communication, and empowering individuals and communities with new tools for creativity and innovation. AI systems can preserve endangered languages, promote inclusivity, and create more equitable access to knowledge. When implemented thoughtfully, AI has the capacity to drive positive social transformation while respecting cultural diversity and promoting global understanding.

However, these opportunities come with significant ethical and social challenges. This includes concerns about data privacy, as AI systems often rely on large datasets containing sensitive information, necessitating careful handling to protect individuals' privacy rights. Algorithmic bias is another issue, as AI algorithms can perpetuate biases present in the data they are trained on, potentially leading to unfair outcomes or reinforcing societal inequalities. Moreover, the increasing autonomy of AI systems raises questions about human responsibility and accountability, especially in disciplines where decisions can have profound ethical implications. Addressing these challenges is crucial to ensure that AI technologies are used ethically and responsibly .

Hence, the objective of this conference is to address these challenges and opportunities through multiple perspectives, including: exploring the transformative applications of AI in humanities and social sciences (HSS) research, addressing ethical and social concerns tied to AI development and deployment, encouraging innovation in education and research, and promoting interdisciplinary collaboration across diverse fields. The conference will also emphasize the development of inclusive public policies that harness AI advancements, prioritize the preservation of human and cultural values, enhance AI literacy among stakeholders, and advocate for the design and implementation of human-centered AI systems that promote equity, inclusivity, and social progress.

Ultimately, the conference will serve as a platform for scholars, researchers, and practitioners to exchange ideas, share insights, and develop strategies for the responsible integration of AI into the humanities and social sciences. It will emphasize interdisciplinary approaches that bring together diverse fields of expertise, focusing on human-centered innovation, cultural diversity, ethical dimensions, and AI’s role in addressing global challenges. The conference, thus, seeks to provide actionable recommendations for policymakers, educators, researchers and developers, ensuring AI contributes to positive social transformation.