Ant Group's Chen Liang: Capability Determines What AI Can Do; Trustworthiness Determines What Society Dares to Entrust to AI
Chen Liang, CTO of Ant Group's Big Security, stated at the Bund Conference that scaling the AI new economy depends not only on model capability but also on trustworthiness. Security is a foundational infrastructure that must be built before AI agents can participate in real economic activities.
Key Takeaways
- Key Highlight：Chen Liang, CTO of Ant Group's Big Security, stated at the Bund Conference that scaling the AI new economy depends not only on model capability but also on trustworthiness. Security is a foundational infrastructure that must be built before AI agents can participate in real economic activities.
- Innovation & Tech：Highlights advancements in Ant, Group, Chen, demonstrating rapid progress in model capabilities.
- Industry Impact：Reported via 雷峰网 (CN), offering actionable signals for developers and technology leaders.
As artificial intelligence technology evolves from simple Q&A interactions to invoking tools, connecting services, and even executing transactions, agents are accelerating their integration into real economic activities. Chen Liang, CTO of Ant Group's Big Security, pointed out during the Bund Conference that this shift has fundamentally changed the positioning of security—it is no longer a peripheral defense line for AI, but the underlying infrastructure supporting AI's path to scale.
Chen Liang proposed that "capability determines what AI can do, and trustworthiness determines what society dares to entrust to AI." When AI agents begin to operate devices or complete transactions on behalf of users, the core test facing the industry has expanded from mere model intelligence to whether AI can accurately understand human intent and ensure operational safety.
This view highlights the critical role of trustworthy AI in the commercialization process. Before AI fully takes over complex tasks, proactively building a comprehensive security system is a necessary prerequisite for avoiding potential risks and establishing social trust. Only by properly addressing security and trust issues can the AI new economy truly achieve leapfrog development.
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Industry Insights & Analysis
As artificial intelligence rapidly evolves, breakthroughs surrounding Ant, Group, Chen, Liang are shifting toward scalable, robust real-world implementations.
Driven by both open-source ecosystems and proprietary model architectures, the integration between compute optimization, data engineering, and agentic workflows is accelerating. This development provides a strategic benchmark for upcoming AI tooling and developer workflows.