本报（chinatimes.net.cn）记者张玫 北京报道 12月26日，由华夏时报社主办的2025（第五届）华夏公益论坛在京举行。腾讯公益慈善基金会执行秘书 长窦瑞刚在以《AI让善意生长更多可能》为题的主旨演讲中，分享了他对科技向善与人性向善之间的 深刻见解。 首先是构建国民级公益基础设施。腾讯公益平台作为连接器，十八年来联动超过140款公司产品，动员 超18亿人次网友，为13万多个公益项目募集善款逾369亿元。"久久公益日""一起捐"、小红花等公益产 品创新，让公益变得有趣、便捷、透明，融入日常生活。"公益地图"、小红花码打通线上线下，让用户 关注身边公益，参与社区公益，让社区需求看得见，易参与。与微信支付共创"捐一笔""摇一摇"等场 景，将微信支付的巨大流量转化为善意暖流。近年来，平台更发布系列AI公益应用与数字化工具，赋 能公益项目全流程，推动行业透明化与高效化发展。 其次是AI技术在社会关键领域的深度赋能与解决方案创新。窦瑞刚指出，面对AI可能带来的社会忧 虑，腾讯的答案是让其成为"大写的AI（技术）"与"小写的ai（爱）"融合的放大器。他引用集团高级副 总裁奚丹的观点："AI的力量不在于它多智能 ...

于无声处听惊雷 亲爱的朋友们： 2024年8月，腾讯研究院联合多家机构，共同种下了一颗AI向善的种子—— 「AI向善语料库」 。这是一项持续、开放、创新的社会共创行动，旨在为那些在商业环节里失声的人群和话题，如 老年人、残疾人、困境儿童等等，构建一个更有人文关怀的AI语料库，推动AI为人类的积极发 展、福祉和幸福发挥更大的价值。 我们期待AI能够： 心事浩茫连广宇，于"无声"处听惊雷。 项目从一老一小开始做起。首个AI向善语料库以"老年人"为主题，共创行动一经发出，便有幸收 到了许许多多朋友的喜爱和支持。最终共有一百余家社会组织参与，汇聚了8047条专家级问答语 料和1408条由老年人撰写的优质语料， 成为 国内外第一个通过公益共创构建的AI训练公共语料 库 。 AI时代没有旁观者｜AI向善语料库开放发布会实录 第一期所有共创组织 今年，我们选择将目光投向"困境儿童青少年"。在正式发起共创行动之前，我们先对市面上的AI 产品进行了一次"大考"：当一个留守的孩子向AI聊天机器人倾诉孤独，当一个青春期的少年羞涩 地敲下关于身体认知的困惑，今天的AI，真的准备好回答了吗？ 谁是"困境儿童青少年"？ 通过第一期的实践 ...

据韩璧丞介绍，下一代脑机接口技术不仅有望帮助肥胖、失眠、自闭症等群体恢复正常生活，甚至有可 能突破感官限制与自然规律，让盲人在黑夜里看到东西，或者看到十公里以外，这就是"AI向善"所蕴含 的无限可能。 "AI向善"同样可能发生在教育领域。码隆科技创始人黄鼎隆表示，AI可在教育领域扮演"均衡器"角色。 通过在发达地区学习先进教学方法，并将其持续传递至资源薄弱地区，从而促进教学资源的有效流动， 避免因技术赋能不均而加剧教育差距。 此外，S大会的展区展示了配备智能轮椅的养老院、可提供个性化健康咨询的全息AI健康助理"小惠"、 支持AI物种识别技术体验等项目；S大会现场也展示了AI助力预防雷击灾害的"雷震子计划"、AI辅助紧 急医疗呼叫的"全球复苏联盟"等科技项目。 在AI技术快速发展过程中，清华大学文科资深教授、苏世民书院院长薛澜表示，面对已步入"少年期"并 快速演进的人工智能，一方面要构建约束其风险的"笼子"，另一方面也要将"向善"的维度、成本与功能 纳入工程设计的源头，让AI能够更加安全、更好地为人类服务。 此次S大会由联合国驻华协调员办公室（UNRCO)、中国企业改革与发展研究会、清华大学可持续社会 价值研究 ...

围绕这一判断，云天励飞以NPU为核心，将推出GPNPU架构，走"推理优先架构"路线，在矩阵/向量单 元、存储层级和带宽利用上深度优化，目标是将100万个token的生成成本，从约1美元压到1美分，实现 百倍级效率提升。 在大模型步入深水区的当下，AI的下一个临界点究竟在哪里？在2025 GIS全球创新峰会现场，深度学习 奠基人、"AI教父"杰弗里·辛顿（Geoffrey Hinton）与云天励飞董事长兼CEO陈宁，围绕算力效率、AI向 善与普惠未来展开了一场高密度对话。 在这一点上，辛顿从新型计算范式的角度强调能效约束，陈宁从专用芯片与架构创新的角度回应同一问 题，形成了对"算力效率将成为下一阶段关键瓶颈"的共同判断。 一位代表全球人工智能基础理论的最前沿，一位深耕专用算力与产业落地，却在关键方向上形成高度共 识：AI的未来，不再只是"更聪明"的竞赛，而是"更高效、更安全、更普惠"的系统性竞争。 AI向善，既要可控也要可负担 AI瓶颈正从"算法"转向"算力效率" 在算力成本急剧攀升的今天，AI的真正瓶颈在哪里？ 辛顿认为，现有计算体系在能耗和效率上面临越来越大的压力，未来需要在新的计算形态上进行更多探 索。他 ...

Core Insights - The dialogue at the 2025 GIS Global Innovation Summit highlighted the need for advancements in AI computing efficiency and the importance of making AI accessible to a broader audience [2][4] AI Chip Market Outlook - The global AI chip industry is projected to reach approximately $5 trillion by 2030, with training chips accounting for about $1 trillion and inference/processing chips expected to reach $4 trillion, representing around 80% of the market [3] - AI processing chips are anticipated to be widely integrated into various devices such as glasses, headphones, smartphones, laptops, home appliances, and enterprise equipment, becoming as ubiquitous as utilities like water and electricity [3] AI Research and Ethical Considerations - Geoffrey Hinton emphasized the real risks associated with AI and the need for proactive measures to address these risks [4] - Chen Ning stressed that meaningful AI must be affordable and accessible to a larger population, not just a select few, to truly be considered beneficial [4] GPNPU Architecture Innovation - The company is set to launch the GPNPU (General-Purpose Neural Processing Unit) architecture, focusing on optimizing matrix/vector units, storage hierarchy, and bandwidth utilization to achieve a hundredfold increase in inference efficiency [5] - The trend of "inference heterogeneity" is emerging, requiring chip architectures to flexibly allocate computing power, bandwidth, and storage [6] Competitive Advantages and Industry Positioning - The company has been involved in parallel computing instruction set and chip architecture design since 2005, giving it a foundational advantage in algorithm chip optimization [7] - The company has established strong customer relationships and possesses capital and brand advantages, enabling it to attract global talent [7] - The Guangdong-Hong Kong-Macau Greater Bay Area offers a comprehensive AI and mechatronics industry chain, allowing the company to quickly respond to market changes and drive chip development based on demand [7]

当下，人工智能技术正迎来爆发点，成为推动全球变革的关键力量。在这一进程中，"AI向善"不仅是世界变局中的珍贵共识，更在持续引导技术走向实践、推动 社会创新，为可持续发展注入源源不断的动能。 面对AI时代的机遇与挑战，我们如何更好地创造社会价值，助力可持续发展目标的实现？12月3日，北京将迎来一场关于可持续未来的关键对话——2025可持续社 会价值创新大会 （以下简称"S大会"） 。本届大会以"解法"为行动指针，旨在人工智能技术深刻重塑社会的当下，探索科技助力可持续发展的可行路径。 自2024年首次举办以来，S大会已从一场思想盛宴演进为一个持续生长、不断融合的开放平台。大会期待携手全球行动者，在充满不确定性的时代共绘可持续的未 来图景，推动AI向善与社会创新从理念走向实践。 从共识到解法， 前沿洞察拓展思想边界 在上午的S大会主论坛上，来自联合国驻华协调员办公室、中国企业改革与发展研究会、清华大学及腾讯的代表将发表洞见。 届时，全球可持续发展领域的创新引领者、一线行动者、前沿研究者与理念倡导者将齐聚一堂，多维度展开深度对话。会议还将聚焦社会创新的生态构建与全球 合作，探索如何将技术创新与可持续发展目标深度融合， ...

Core Viewpoint - The rapid development of AI technology is accompanied by the need to ensure that it serves humanity positively, as highlighted in Alibaba's "AI for Good Action Report 2025" [1] Group 1: AI Innovations and Applications - Quark AI's "Volunteer Report" feature significantly lowers the barriers for rural students in college applications, providing them with new perspectives [1] - The Dahua Institute's AI detection model enables complex pancreatic cancer screening through plain CT scans, showcasing advancements in medical diagnostics [1][6] - The "Eagle Eye Guardian" early warning system, developed by the China Academy of Safety Science and Technology in collaboration with Gaode Map, achieves second-level alerts within a 1-kilometer range [1] Group 2: Ethical Considerations in AI Development - The importance of making AI not only smarter but also more benevolent is emphasized by Alibaba's representatives, indicating a shift towards responsible AI development [2] - Experts believe that China's societal foundation is conducive to exploring the concept of "AI for Good," aligning with human-centered development principles [2] - The need for technology companies to define what constitutes "good" during the model training phase is highlighted as a fundamental change in product and technology development [2] Group 3: Social Impact and Accessibility - AI's focus on assisting vulnerable groups and addressing public concerns is crucial for realizing its potential for good [4] - The development of "AI glasses" for the visually impaired demonstrates practical applications of AI in enhancing mobility and independence [5] - AI has already conducted over 90,000 CT image screenings in a pilot study, identifying numerous cases of pancreatic cancer and other conditions, indicating its role as a "guardian" in healthcare [6] Group 4: Future Directions and Industry Growth - Experts agree that prioritizing ethical considerations in AI is essential for the healthy development of the industry [8] - Establishing trust in new technologies is critical, as societal consensus on ethical AI is still forming [8] - The application of AI in solving social issues can enhance public acceptance and demonstrate its contributions to societal welfare [8]

Core Insights - The forum emphasizes the concept of "wealth for good," advocating for a shift from profit-driven capital to capital that nurtures civilization [4][7] - The discussion highlights the dual challenges of wealth and the impact of AI, suggesting that technology should serve human development rather than exacerbate greed [4][6] - The notion of "common prosperity" is presented as a civilizational awareness, aiming to transform wealth from a privilege of the few to the happiness of the many [8] Group 1 - The forum, hosted by the Taihu World Cultural Forum, focuses on the dialogue around wealth and civilization [1] - Zheng Chuanhan, the Vice Chairman and Secretary-General of the forum, articulates that capital should not merely be a tool for profit but a fuel for civilization [4][7] - The idea of "AI for good" is introduced, emphasizing that AI reflects human intentions and should be guided by ethical considerations [4][6] Group 2 - The practice of "capital for good" is described as growing in China, with "common prosperity" framed as a way for the wealthy to uplift the less fortunate [8] - The forum discusses the importance of different cultural perspectives on wealth, highlighting the need for dialogue between Eastern and Western philosophies [8][9] - A new "civilizational contract" is proposed, advocating for wealth to flow with intention, ethics to guide capital, and technology to innovate with warmth [9]

Core Insights - Alibaba's Quark College Entrance Examination Public Welfare Project has served 160 million candidates and parents over the past seven years, utilizing AI technology to assist in educational decision-making [2] - The project launched a high school volunteer reporting model and produced over 12 million personalized volunteer reports for families during the 2025 college entrance examination season [2] - The "AI for Good" initiative is highlighted in Alibaba's recent report, emphasizing the dual importance of technological maturity and social responsibility [2] Group 1 - The Quark College Entrance Examination Public Welfare Project started in 2019, focusing on applying AI technology in educational public welfare scenarios [2] - The project has organized face-to-face communication sessions in various provinces, addressing new examination concerns for students [2] - Future plans include expanding AI empowerment beyond college entrance examination reporting to other stages of student career development [2]

Core Insights - Alibaba's Quark Gaokao Public Welfare Project has been instrumental in promoting information equity and assisting students in college application processes over the past seven years [1][3]. Group 1: Project Overview - The Quark Gaokao Public Welfare Project was initiated in 2019 to provide effective decision-making support for families, particularly those from rural areas, amidst the vast information available for college applications [3]. - The project has served a total of 160 million students and parents, generating over 12 million personalized college application reports in the 2025 Gaokao season [3]. Group 2: AI Integration and Future Plans - Quark has developed the first college application large model and launched three AI products specifically for the Gaokao process [3]. - The project is recognized in Alibaba's "AI for Good Action Report 2025" as a significant practice of the "AI for Good" concept in education, emphasizing the dual importance of technological maturity and social responsibility [4]. - Future plans include expanding AI capabilities beyond college applications to encompass more stages of student career development, shifting from one-way assistance to mutual growth through continuous interaction with students [4].