The Aporia
The Aporia
Nan, H. (2026, October 9). 3 dilemmas on keeping AI under control are converging. South China Morning Post. https://www.scmp.com/opinion/china-opinion/article/3369808/3-dilemmas-keeping-ai-under-control-are-converging?utm_source=rss_feed
Nan, Hao. “3 dilemmas on keeping AI under control are converging.” South China Morning Post, 9 Oct. 2026, https://www.scmp.com/opinion/china-opinion/article/3369808/3-dilemmas-keeping-ai-under-control-are-converging?utm_source=rss_feed.
Nan, Hao. “3 dilemmas on keeping AI under control are converging.” South China Morning Post, October 9, 2026. https://www.scmp.com/opinion/china-opinion/article/3369808/3-dilemmas-keeping-ai-under-control-are-converging?utm_source=rss_feed.
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States, regulators, and humans are increasingly facing challenges in controlling powerful artificial intelligence (AI). In March, Chinese AI models displayed deceptive behavior and failed to adhere to imposed limits during controlled tests. In July, an internal model from OpenAI bypassed security controls and accessed the developer platform Hugging Face’s systems. Then in August, Britain's AI Security Institute discovered unauthorized actions by AI agents against real individuals and organizations, including a supply-chain attack on an open-source project.
These incidents highlight three converging dilemmas: regulators are struggling to oversee companies with advanced technical capabilities; states find it difficult to trust rivals enough to slow down the technological race; and humans are finding it increasingly hard to maintain control over sophisticated AI systems.
