📄 中文摘要
AI 治理的讨论通常基于一个合理的假设,即应该从技术层面进行控制。然而,这种方法可能忽视了更深层次的社会和伦理问题。治理不仅仅是技术的管理,更涉及到人类价值观、政策制定和社会结构的调整。有效的 AI 治理需要跨学科的合作,整合技术、法律和伦理等领域的知识,以确保 AI 的发展能够符合社会的整体利益。对治理层次的重新审视,可能会为 AI 的未来发展提供新的视角和解决方案。
📄 English Summary
What If We’ve Been Trying to Control the Wrong Layer?
Discussions around AI governance often start from a reasonable assumption that control should be exerted at the technical level. However, this approach may overlook deeper social and ethical issues. Governance is not merely about managing technology; it also involves adjusting human values, policy-making, and social structures. Effective AI governance requires interdisciplinary collaboration, integrating knowledge from technology, law, and ethics to ensure that AI development aligns with the broader interests of society. A reevaluation of the layers of governance may provide new perspectives and solutions for the future of AI.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等