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从披露到治理:AI驱动企业ESG价值链升级
Zhong Guo Zheng Quan Bao·2025-04-27 21:02

Core Viewpoint - The integration of AI technology with sustainable development is driving industrial upgrades and green transformation, enhancing energy efficiency and operational effectiveness across various sectors [1][3]. Group 1: AI in ESG Reporting and Management - Companies are leveraging AI technology to innovate ESG management practices, making it a highlight in their 2024 ESG disclosures [1]. - Guodian Power has released its first ESG report compiled using AI, which enhances the quality and efficiency of ESG reporting by improving research and topic identification processes [1]. - DNV's director noted that AI can reduce disclosure costs and reliance on professional ESG analysts, minimizing repetitive human input [1]. Group 2: AI Empowering Corporate Governance - Keda Intelligent has upgraded its ESG practice system by creating an "ESG+AI" innovation platform, optimizing energy management and providing smart industrial solutions [2]. - China Ping An has established a unified ESG evaluation standard and an AI-ESG platform to enhance ESG management and risk control [2]. - Kain Co. has integrated AI into its manufacturing processes, creating a responsible production system that promotes green and smart factories [2]. Group 3: AI Driving Efficiency and Sustainability - A Deloitte report indicates that 78% of surveyed companies plan to increase AI investments by 2025, focusing on generative AI for supply chain management and compliance [3]. - Kingdee International collaborates with HeSteel Digital to enhance steel waste quality verification and carbon asset management using AI, achieving over 90% accuracy in identifying medium and heavy steel waste types [3]. - WanGuo Data is utilizing AI to improve energy efficiency in data center operations, addressing high energy consumption challenges [3]. Group 4: AI Applications Across Industries - In logistics, SF Technology is using its self-developed AI model to enhance green logistics supply chains, achieving cost reduction and energy savings [4]. - In finance, Bank of China Hong Kong is enhancing its fraud detection capabilities through AI, improving transaction monitoring [4]. - In insurance, China Ping An's AI platform has served over 6,000 personnel in risk control, achieving over 92% accuracy in financial risk warnings [4][5]. Group 5: AI Ethics and Data Security - Industry experts emphasize the need for data compliance and security in AI applications for ESG governance, highlighting the challenges of data legality and privacy [5]. - Kingdee International has established an algorithm safety studio to manage AI risks and ensure responsible technology innovation through ethical review mechanisms [6]. - China Ping An has committed to ethical governance in AI development and application, forming committees to ensure information security and privacy protection [6].