International Social Science Journal (Chinese Edition)

No.1, 2025

 

 

Irene Pivetti

 

Multilateral platforms are crucial for collectively addressing the challenges posed by the development of artificial intelligence. The European Union has accumulated rich experience in promoting integration and policy formulation, and this multifaceted approach can provide valuable insights for tackling AI-related issues. Despite the significant achievements in AI technology, the deep interaction between AI and social systems, as well as the cross-cultural complexities, remain areas that require further exploration. Research in AI needs to be broadened from a humanistic perspective, focusing not only on its performance and user perception but also on the accuracy and cultural adaptability of data annotation. Data annotation is a critical component of AI, yet it currently faces issues such as low-quality annotations and potential biases. Studies have shown that dataset biases can lead to unfair outcomes, highlighting the need for developing more reliable data annotation methods. The international community should collaborate to ensure that the development of AI technology aligns with shared human values and prevents it from becoming a tool that exacerbates inequality.