2024-09-17-世界经济论坛-ChatWTO_生成性人工智能与国际贸易分析（英）_18页_1mb

ChatWHTO: Generative AI and International Trade White Paper Summary

1. Introduction:
   The rapid development of Generative AI (GAI) presents significant opportunities but also introduces complex ethical, safety, and trade policy challenges. GAI is already impacting various sectors, including creative work, telecommunications, and content creation, while raising concerns about plagiarism, privacy, and misinformation.

2. GAI Development:

   • Large Language Models (LLMs) have revolutionized GAI by enabling human-like content generation.
   • Despite notable benefits, such as increased productivity (e.g., up to 40% for writing tasks), GAI requires substantial technical and energy resources.
   • Concerns include potential job displacement, environmental strain, and risk of misuse, requiring global governance.

3. Governance Efforts:

   • International bodies (e.g., OECD, UNESCO, G7) are establishing principles like human rights adherence and transparency, but divergent national laws risk creating regulatory fragmentation.
   • Frameworks emphasize exchange of technical standards and transparency to maintain public trust in GAI tools.

4. International Trade Rules:

   • The WTO and related agreements (e.g., GATS, TRIPS) are being challenged by GAI's technical nature. Issues of harmonization, copyright/IP protection, and cross-border service applications pending legal updates.
   • Non-tariff barriers (e.g., mandates for domestic data use) and subsidies threaten fair competition.

5. IP Challenges with GAI:

   • Conflicts arise over training data usage and ownership of outputs.
   • Recommendations include enhancing transparency and establishing clear guidelines for copyrighted/trademarked materials.

6. Recommendations for Action:

   • Host educational sessions for WTO members to foster international alignment on GAI impacts.
   • Develop models that ensure ethical GAI use, pro-active assessments for trade barriers, IP harmonization efforts, and collaboration on technical standards.
   • Address data flows, bias, and digital equity to ensure sustainable development for all.

Conclusion:
GAI intersects deeply with global trade systems, requiring both speed and standardization to avoid inefficiencies. International dialogues at venues like the WTO, OECD, and G7 must balance innovation and regulation to shape global GAI governance.