How German Machine Manufacturers in China May Use AI to Secure Their Lead, and Legal Risks to Consider
In a fraction of the time, generative artificial intelligence (AI) models can perform a wide range of tasks like text analysis, image analysis, data analysis, or classification of human-like quality, which is useful in industry manufacturing processes. China, alongside the US, is the AI global leader, with around 40% of the world's published generative AI models.
Strict regulatory restrictions in China have led to the rapid development of a diverse range of domestic generative AI models. Some of these models, published as open-source, outperform US models for the Chinese language, allowing any company to download, run on their own servers, and commercially use them.
Generative AI is, above all, a catalyst for innovation for SMEs, as it is now possible for any company to safely integrate the most powerful AI models into its own processes and products. The first step primarily focuses on cost savings, as generative AI models can support or even replace manual and recurring digital processes.
Topic 1: Generative AI as a Game-changer for Foreign Invested SMEs in China: Outlining the Opportunities and Overview of Use Cases.
主题 1:生成式人工智能将改变中国中小企业的游戏规则: 概述机遇和使用案例
With Generative AI, we are at the beginning of a technological revolution comparable to the epochal transition from the typewriter to the computer. The challenge for foreign-invested companies is that they cannot use the same Generative AI models in the Chinese market as they would use outside China. Therefore, each subsidiary in China must deal with the topic of Generative AI to understand the cost-saving potentials and what other products and services are already being used by their Chinese competitors. If the rapid development and implementation of these advanced AI technologies are ignored, foreign-invested companies run the risk of being left behind by their Chinese competitors in terms of technology and costs.
对于生成式人工智能,我们正处于一场技术革命的开端,堪比从打字机到计算机的划时代转变。国外公司面临的挑战是,他们无法在中国市场使用与在中国境外相同的生成式人工智能模型。 因此,在中国的每家子公司都必须单独处理生成式人工智能这一主题,以便了解有哪些节约成本的潜力及中国竞争对手已经在使用哪些其他产品和服务。如果忽视这些先进人工智能技术的快速发展和应用,国际公司就有可能在技术和成本方面被中国竞争对手甩在后面。
Overview of the Speech
Mr. Lukas Tatge will:
介绍中国的生成式人工智能领域
概述生成式人工智能模型的工业应用案例,以及 LongAI 的工业生成式人工智能项目 的具体见解
为中国中小企业如何开始使用生成式人工智能提供建议和思路
Topic 2: Legal Framework for Generative AI in China and Legal Challenges in its Application Faced by Foreign-Invested SMEs
主题2:中国人工智能法律框架及外商投资中小企业在应用中面临的法律挑战
Due to the competitive pressure not only on the Chinese market, SMEs are forced to implement AI solutions in their businesses in China to reduce costs, increase operational efficiency, improve competitiveness, and secure their lead in the market.
As the current AI regulatory framework includes requirements not only for Generative AI developers and providers but also for companies that use Generative AI tools in their operations, companies planning to implement Generative AI tools in their operations need to be aware of current AI legislation and the respective legal challenges and risks, including administrative sanctions, contractual penalties, compensatory damages, and criminal liability.
由于中国市场的竞争压力,中小企业不得不在其中国业务中实施人工智能解决方案,以降低成本、提高运营效率、增强竞争力并确保其在市场中的领先地位。
由于当前的人工智能监管框架不仅包括对人工智能开发商和提供商的要求,还包括对在运营中使用人工智能工具的公司的要求,因此计划在运营中实施人工智能工具的公司需要了解当前的人工智能立法以及相应的法律挑战和风险,包括行政处罚、合同处罚、赔偿损失和刑事责任。
Overview of the Speech
Mr. Ondrej Zapletal will:
介绍中国的政策、近期监管发展以及当前的人工智能法律框架
指出外商投资企业在中国运营中使用人工智能所带来的法律挑战和风险
分享如何降低相应风险的想法
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