Exhibitor login
AI Insider 16 September 2026

Trump and China downplay AI warning

Trump and China downplay AI warning

Donald Trump and representatives of the Chinese government have raised questions this week about the warnings from leading figures at OpenAI, Google DeepMind, and Anthropic regarding the risks of superintelligence. They view these warnings as fearmongering, intended to justify strict regulations. This debate is not only current in the US and China, but also has consequences for Europe and the AI regulation, with questions about the impact on businesses and government.

Trump, a prominent political figure, dismisses the "existential" AI risks as exaggerated. According to him, the fear rhetoric mainly helps large tech companies, as strict licensing requirements could exclude smaller players. This point of discussion reflects a broader American debate about who may develop AI and under what conditions. In China, this same warning is also downplayed, with party media viewing gloomy AI scenarios as politically motivated and an attempt to hinder Chinese innovation.

Tech leaders have long pointed out the potential risks of powerful AI systems. In previous statements from the Center for AI Safety, these dangers were compared to pandemics and nuclear threats, and there have been calls for international cooperation in AI development. The proposed approach includes, among other things, safety testing, incident reporting, and a licensing system for advanced models, aimed at preventing misuse and unintended harm.

The European AI regulation opts for a risk-based approach. Prohibited practices are quickly implemented, while high-risk applications face stringent requirements. For Dutch organizations, this means they need to map their AI systems carefully and have them independently tested. The goal is to ensure transparency and accountability in AI applications, in line with the regulations. This underscores the importance of robust testing and documentation, which also contributes to building trust in AI technology.

Read the full article from AI Insider.