This article reviews the report’s methodological adjustments and its main findings across five dimensions. It examines why countries tend to prioritize the development and adoption of AI capabilities without strengthening oversight of and constraints on their own conduct at the same pace. It then considers the limitations of the Global Index on Responsible AI in terms of both measurement methods and normative benchmarks.

After the White House talks, where is China-US AI governance cooperation headed?

On September 24, 2026 local time, the Chinese and U.S. presidents held talks at the White House. Artificial intelligence (AI) was among the issues discussed. The Chinese President pointed out that China and the United States both possess strong capabilities in AI. While competition exists between the two countries, there is even greater scope for cooperation. The two sides could continue dialogue on AI, discuss its risks and benefits, and work together to guard against its misuse and abuse, whil

On September 21, 2026, the United Nations Independent International Scientific Panel on Artificial Intelligence released its first thematic brief.

On September 23, 2026, local time in New York, the United Nations Security Council held a high-level meeting on “Artificial Intelligence and International Security.”

On September 12, Anthropic CEO Dario Amodei published a lengthy essay titled We Must Pace the Frontier, calling for a slower pace of capability development in frontier AI models. Within days, the heads of several leading AI labs publicly weighed in, while discussions in the White House and Congress over possible regulatory approaches continued to intensify. A debate previously driven largely by AI safety research institutions and advocacy groups has rapidly moved onto the U.S. technology policy

Whether evaluation can change a high-risk deployment, and whether an anomaly can trigger correction and accountability, are the key tests of whether AI governance is actually working. Countries with weaker capacity must, in addition, build the capacity for independent judgment. Only when both are achieved will a stated commitment to principle become a real constraint on how systems operate.

Many countries are not seeking to completely replace American models with Chinese ones, but rather to retain an alternative option alongside American suppliers. They are unwilling to entrust all their AI needs to a single country, let alone depend on a single company.