New York Times – Artificial Intelligence : The One Danger That Should Unite the U.S. and China

Sep 2, 2025

—

Source URL: https://www.nytimes.com/2025/09/02/opinion/ai-us-china.html
Source: New York Times – Artificial Intelligence
Title: The One Danger That Should Unite the U.S. and China

Feedly Summary: The U.S. and China must agree on a trust architecture for A.I. devices, or else rogue entities will destabilize these two superpower nations long before they get around to fighting a war.

AI Summary and Description: Yes

Summary: The text highlights the necessity for the U.S. and China to establish a trust framework regarding AI devices, emphasizing the potential risks posed by rogue actors if such a framework is not developed. This is particularly relevant to security and compliance professionals concerned with international relations, AI security, and governance in technology.

Detailed Description: The text underscores the geopolitical implications of artificial intelligence, particularly how a lack of a trust architecture could lead to destabilization between two major superpowers. This context is critical for professionals involved in AI security, privacy, and infrastructure compliance, as it emphasizes the importance of regulatory frameworks and trust in AI technologies.

– **International Relations and AI Security**: The need for U.S. and China to collaborate on a trust framework indicates growing recognition of the risks associated with AI technologies in global political dynamics.
– **Risks of Rogue Entities**: The reference to “rogue entities” points to the potential threats posed by non-state actors, which could exploit the absence of a trust framework, leading to instability.
– **Trust Architecture**: A structured trust architecture is essential for ensuring security and compliance in AI development and deployment, potentially outlining how data is shared, accessed, and governed.
– **Implications for Compliance**: This situation highlights the urgent need for regulatory bodies to create standards that govern AI technologies to mitigate risks associated with international tensions.

In conclusion, establishing a collaborative trust architecture for AI devices is not just a technical challenge but an essential step towards ensuring stability and compliance in an increasingly digital world. Security professionals must stay informed about these developments to adapt their strategies accordingly.

2 2025 5 a access Act AI AI development AI security AI technologies All and Arch architecture art artificial Artificial Intelligence as at ated Bi by C CERN challenge China CI CIA co Col collaborative collaborative trust compliance compliance professionals Context core critical D data de deployment development developments device digital e ERP exp exploit fighting for framework frameworks g Gen geo geopolitical geopolitical implications git glob Global Go governance H high Highlight HR http HTTPS implications in infrastructure infrastructure compliance Intel intelligence inter intern international relations io ite J Just k l Labor leading led Li long M ML N nation new New York no non o of on one ons OPM ory oS out over per point political dynamics potential potential risks Power privacy pro professionals ps R rate RCE re red regulatory regulatory bodies regulatory framework regulatory frameworks Risk risks Ro rogue entities row Rust s sec security security and compliance security professionals SHA size sizes SoC source SSE SSO stability standards state state actors strategies structured superpower T tech technical technologies technology ted text the threat threats Time times to Tor TP trust trust architecture trust in AI two U.S. under up US V Wi world x york yt z