MIT Technology Review播客节目《Business Lab》近期采访了工业AI软件企业AVEVA的首席技术官Arti Garg，探讨工业AI在基础模型、物理AI和agent AI驱动下进入新发展阶段的同时，如何确保安全、负责任的部署1。
过去两年工业AI应用增长了78%1。Garg介绍了AVEVA提出的负责任AI框架，该框架围绕安全、效率（包括环保效率）和人类监督三个核心要素展开1。在实践应用中，SCG Chemicals通过采用AI驱动的可靠性平台在早期试点取得显著成效，实现了9倍的投资回报率，目标植物可靠性达到99%1。
面对工业领域的人力挑战，近一半的工业劳动力计划在未来五年内退休1。Garg对人工智能在缩小这一差距中的作用持乐观态度，预计在18个月内，具有深厚领域专业知识但无软件背景的人员将能够采用AI辅助编码技术1。此外，Garg现任IEEE P7100标准工作组主席，推动建立AI环保影响测量的标准方法，涵盖电力、能源、资源、水和碳排放等关键指标1。
Industrial AI is entering a new phase driven by foundation models, physics-based AI, and agent AI technologies.1 Over the past two years, applications of industrial AI have grown by 78 percent.1 In a podcast interview with MIT Technology Review's Business Lab, Arti Garg, Chief Technology Officer at AVEVA, discussed how organizations can responsibly deploy these advancing systems while balancing automation with human oversight.
Garg outlined a three-pillar governance framework for responsible AI deployment that emphasizes safety, efficiency—including environmental efficiency—and human supervision.1 As chair of the IEEE P7100 standards working group, Garg is spearheading efforts to establish standardized methods for measuring AI's environmental impact across power consumption, energy use, resource allocation, water usage, and carbon emissions.1 The framework reflects growing recognition that as industrial AI becomes more autonomous, maintaining human control remains essential to safe deployment.
Real-world applications demonstrate the potential returns of AI-driven reliability systems.1 At SCG Chemicals, an AI-powered reliability platform achieved a ninefold return on investment during early-stage trials, with target plant reliability reaching 99 percent.1 Beyond immediate operational gains, industrial organizations face workforce transitions: nearly half of the industrial labor force plans to retire within the next five years.1 Garg projects that within 18 months, domain experts without software engineering backgrounds will be able to adopt AI-assisted coding technologies, potentially helping to bridge this skills gap.1
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