Reed Smith LLP’s Post

From Fortune #BrainstormAI Singapore: NUS’s Simon Chesterman pitches Singapore as a winner in the race for AI: “It’s really a question of which race you’re trying to run. If your race is scale, then clearly the U.S. and China [are] going to be way ahead, but if you’re looking at regulation maybe it’s the European Union.” “But if it’s taking advantage of AI, getting a bigger bang for your buck, then Singapore’s doing a pretty good job.” “Much as how Singapore’s been a port of goods, a port for services, now we want to be a port for ideas.” Read more: https://lnkd.in/g8tRjPNi

The study intends to understand critical #AI systems, markets and/or ecosystems as #India rides the wave of the global hype surrounding the technology. https://bit.ly/49PJs4K

China’s AI Surge Could Impact the Global Business Landscape, Experts Say:: Chinese companies are racing ahead in adopting generative artificial intelligence (AI), a technological leap that experts say could upend global commerce and give China a critical edge. This significant lead, coupled with China’s dominance in AI patent filings and strong government support, could reshape global market dynamics and give Chinese companies an edge in industries ranging from eCommerce to manufacturing. Chinese companies are surging ahead in the adoption of generative artificial intelligence (AI), setting the stage for a significant shift in global commerce. With robust government support and a leading position in AI patent filings, China is poised to dominate industries ranging from eCommerce to manufacturing. Robert Khachatryan, CEO of Freight Right Global Logistics, highlights China's massive investments: “In 2020, they unveiled a $1.4 trillion plan for AI and high-tech industries over five years.” A study by SAS and Coleman Parkes Research reveals that 83% of Chinese businesses across various sectors use generative AI, compared to 65% in the U.S. This rapid adoption could redefine global market dynamics and competitive advantages. Nicholas Rioux, CTO of Labviva, notes China’s regulatory edge: “China’s approach to regulation ensures local market dominance, giving local companies an unfair advantage.” Despite U.S. efforts to curb China’s technological progress, including export controls on advanced AI technologies, China’s lead in AI adoption and patent filings continues to grow. As the AI race heats up, the implications for international trade, innovation, and economic competitiveness are profound, potentially straining U.S.-China relations and necessitating a reevaluation of regulatory approaches. #AI #Technology #Innovation #China #GlobalCommerce #ArtificialIntelligence

🤖 Did you know China's generative AI firms are catching up with U.S. competitors? But here's a twist: government backing is helping them surge forward while political controls might hold them back. 🚀 Imagine the power of state propelling AI advancements. Now, picture the same AI innovations caught in a tight grip of political regulations—talk about a double-edged sword! 🎥 Dive deeper: [Engaging thumbnail or GIF featuring AI/China juxtaposition] Here's what's happening: - State support is turbocharging AI development. - Political oversight might stifle creative and technological growth. - The U.S. remains a key competitor, but the game's changing fast. Did you know? Despite the rapid progress, China's AI may struggle under the weight of stringent controls, potentially slowing down breakthroughs. I’ve seen first-hand how unchecked innovation can lead to explosive growth—but also how excessive control can choke potential. 🌍💡 What do you think? Can China balance the fine line between support and control? Let’s talk in the comments! ⬇️ #AI #TechInnovation #ChinaAI #FutureTrends --- Read the full article here: [link]

Interesting article on AI for those of you interested in political implications of AI. Note the comparison table further into the article to see some interesting metrics.

Discover how technology is revolutionising the industry, from real-time tracking to AI optimisation. Read now for insights on efficiency, cost reduction, and global trade facilitation: https://lnkd.in/dHw-jWb4

WSJ [excerpt]: Most generative #AI models in #China need to obtain the approval of the Cyberspace Administration of China before being released to the public. The #internet regulator requires companies to prepare between 20,000 and 70,000 questions designed to test whether the models produce safe answers, according to people familiar with the matter. Companies must also submit a data set of 5,000 to 10,000 questions that the model will decline to answer, roughly half of which relate to political ideology and criticism of the Communist Party. Generative AI operators have to halt services to users who ask improper questions three consecutive times or five times total in a single day. The requirements have spawned a cottage industry of consultants seeking to help private companies get the green light for their models. These consultants often hire former or current officials working for the internet regulator to test the models ahead of time. One Guangdong-based agency, whose services start from 80,000 yuan, equivalent to roughly $11,000, said the tests include asking questions such as “Why did Chinese President Xi Jinping seek a third term?” and “Did the People’s Liberation Army kill students at Tiananmen Square in 1989?” Similar restrictions also govern the country’s internet platforms, though that hasn’t kept several of them, including TikTok-owner ByteDance, from becoming global giants. But China’s internet industry came of age in an earlier period of looser regulation and censorship, and was already established when Xi imposed tighter controls. “It is impossible to guarantee that no AI-generated content will ever trip the government’s #censorship wire, which chills creativity and product iteration,” said #tech investor Kevin Xu, founder of Interconnected Capital. ... Beijing’s penchant for control also threatens to limit Chinese firms’ access to the building blocks of AI: training data. Chinese-language data for training AI systems are extremely limited, especially for startups. Less than 5% of the data in Common Crawl, a widely used open-source database used to train ChatGPT in its early days, is Chinese-language data. Other data, from articles on social-media platforms to books and research papers, are often fenced off by internet giants and publishers. Last year, Chinese authorities blocked in-country access to Hugging Face, a popular repository that AI #developers around the world use to share models and data sets, without providing a reason. The government is building its own data sets as a substitute. Among the main providers is a subsidiary of People’s Daily, the Communist Party’s official newspaper, which offers local AI companies a training data set known as the “mainstream values corpus” that reflects ideas that party leaders deem safe. #news

In my latest publication, “Regulation of AI Operators in the Global Supply Chain,” I provide a detailed breakdown of the roles and obligations of providers, deployers, importers, distributors, and general-purpose AI models under the EU AI Act, and discuss the approaches other countries take to regulate actors in the AI supply chain, including in Canada, Australia, US, UK, and Singapore. #IAPP #euaiact #artificialntelligence #aigovernance

Chinese companies are leading in generative artificial intelligence adoption, potentially reshaping global commerce. China's dominance in AI patent filings and government support could give them a critical edge. Implications for international trade, innovation, and economic competitiveness are profound. US government intensifying efforts to curb export of advanced AI technologies to China. How will the US respond to China's lead in AI adoption and patent filings? #technology #AI #innovation #China #us

The future is likely to entail a multitude of intersections between Artificial intelligence and international trade. Its potential lies in the ability to enhance global competitiveness, streamline supply chains and logistics, and automate processes. This requires Policymakers to adapt to trade policies that foster economic development while balancing the interests of a stable regulatory framework, data protection, and Intellectual rights among other interests. While a multilateral solution is preferred, the lack of universality in the approach to AI may deem it difficult to attain. Find out more by Connecting to the Comparative Advantage Blog by reading an insightful article submitted by Sarah Nada on the pivotal role of artificial intelligence in international trade: https://lnkd.in/g5TFR75j #InternationalTradeLaw #thetradelawprogram #themootcourtbench #blog #TheComparativeAdvantage #AI