According to Yu Feng, what are the three essential thresholds that AI must cross to be successfully applied in industrial settings?

Yu Feng states that 'AI must cross data's availability and governability, deep understanding of the industrial environment, and accountability' — three critical thresholds for AI to truly enter industrial sites. He emphasizes that industrial systems cannot tolerate uncertainty, and thus AI deployment must be grounded in high-quality, governable data; rooted in profound, experience-based knowledge of processes, equipment, and constraints; and anchored by a clear responsibility mechanism where humans remain 'in the loop' for final decision-making.

Why does Yu Feng insist on keeping 'humans in the loop' in AI-driven industrial systems, especially in high-risk environments like refineries and chemical plants?

Yu Feng insists on 'humans in the loop' because industrial environments — such as refineries and chemical plants — are 'zero-tolerance' domains where even minor AI misjudgments of temperature, pressure, or flow parameters could lead to catastrophic consequences. Unlike internet applications where errors may cause only minor inconveniences (e.g., a search deviation), industrial AI failures risk safety, reliability, and operational continuity. Therefore,霍尼韦尔’s approach layers AI, cloud, and edge computing capabilities atop proven, deterministic control systems — preserving safety-critical logic at the base while using AI for risk identification and optimization above, with human operators retaining ultimate authority and accountability.

Honeywell Greater China President Yu Feng: AI Industrial Applications Must Cross Three Thresholds

Jun 1, 2026

Honeywell Greater China President Yu Feng states AI in industrial sectors like chemical plants must overcome data, understanding, and accountability thresholds. He emphasizes human-in-the-loop systems to ensure safety and reliability in critical infrastructure.

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