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阿里巴巴发布AI向善行动报告 AI向善是技术走向成熟的试炼场
Huan Qiu Wang· 2025-11-04 08:08
来源:环球网 【环球网公益综合报道】人工智能(AI)浪潮汹涌。作为继电力、互联网之后的新一代通用目的技 术,AI 正以前所未有的潜能重塑着生产和生活方式。如何确保AI始终沿着"以人为本"的方向前行?11 月3日,阿里巴巴发布《AI向善行动报告2025》给出一份思考答案。据悉,这也是是国内科技公司发布 的首份AI向善报告。 (《阿里巴巴AI向善行动报告2025》) 今年以来,AI产业高速发展。全球科技企业决胜模型性能和算力,加速推进AI基础设施建设,进一步 推高了AI时代的想象力,但同时也带来更多思考题。比如,如何控制AI应用带来的风险?如何善用AI 技术解决社会难题?如何避免AI时代人群差异进一步扩大?对此,《阿里巴巴AI向善行动报告2025》 (下称《报告》)提出"AI向善"的愿景,认为"AI向善"是技术走向成熟的试炼场,是企业实现可持续发 展的内生动力,也是构建社会信任的坚实桥梁。 报告发布团队认为,技术价值、商业价值、社会价值可以实现有机统一。AI 向善,从来都不是技术成 熟后的锦上添花,而是贯穿技术演进的引导罗盘。应对挑战的最佳态度,不是在安全与发展之间摇摆, 而应在发展中求解、主动将技术引向最能造福 ...
李开复:智能体才是未来AI的核心形态
母基金研究中心· 2025-09-13 09:04
Core Viewpoint - The 2025 Sixth China Fund of Funds Summit highlighted the rapid advancements in AI, particularly the transition from traditional models to intelligent agents, which are expected to significantly enhance business efficiency and create new value in various industries [2][3][4]. Group 1: AI Development Trends - The development of large models has evolved from relying solely on data and computing power to incorporating "slow thinking" capabilities, allowing for deeper reasoning and self-training [3][4]. - The significance of Chinese models, such as Alibaba's Tongyi Qianwen and DeepSeek, lies in their open-source nature, which facilitates easier training and innovation compared to the closed-source models prevalent in the U.S. [3][4]. Group 2: Importance of Intelligent Agents - Intelligent agents are identified as the core future form of AI, possessing memory and execution capabilities that enable them to understand and fulfill business needs, thus acting as "super employees" [4][5]. - The advancement from workflow intelligent agents to reasoning intelligent agents allows for the autonomous breakdown and execution of complex tasks, potentially replacing human labor over hours to days [4][5]. Group 3: Challenges and Strategic Implementation - Traditional enterprises face challenges in deploying intelligent agents, often only replicating past AI capabilities without a clear future strategy [5]. - Successful deployment requires top-level management involvement to align with strategic goals, leading to business restructuring and value redefinition [5]. Group 4: Practical Applications and Value Creation - The company has implemented practical strategies by recruiting experienced consultants to help businesses develop transformation strategies and create quantifiable commercial value through intelligent agents [5]. - Applications in various sectors, such as energy, patent writing, game optimization, and supply chain management, have demonstrated both cost reduction and revenue enhancement [5].