张晓：中西文明互鉴，共创人工智能治理新范式

Group 1 - The core idea emphasizes the necessity of mutual learning between different civilizations in the context of artificial intelligence reshaping human civilization, highlighting the integration of Western rationalism and Eastern holistic thinking in AI governance [1][6] - Western rationalism provides a methodological foundation for AI governance, as seen in the EU's AI Act which incorporates principles of technological transparency into legal frameworks [1][3] - Eastern holistic perspectives inject ecological wisdom into technological development, as demonstrated by China's AI ethics guidelines that prioritize ecological considerations alongside economic benefits [2][4] Group 2 - The governance paradigm is evolving towards a collaborative model that balances rights protection and shared responsibilities, with the EU's GDPR establishing a robust rights protection network while China emphasizes ethical risk management in AI development [3][4] - The integration of rights and responsibilities is not contradictory but rather a dialectical unity that forms a new governance paradigm, providing a reference model for global AI governance [4][5] - A dynamic balance between technological innovation and humanistic care is essential, as evidenced by the contrasting approaches to data governance and algorithm management in the West and East [4][6] Group 3 - The mutual learning between civilizations is seen as a pathway to a shared future, with initiatives like UNESCO's AI ethics recommendations reflecting a synthesis of Eastern and Western philosophical wisdom [5][6] - The essence of AI governance is framed as a choice of values, where Western precision meets Eastern ecological wisdom, creating governance insights that transcend cultural boundaries [6]