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Significance and Pathways of Promoting AI Development Cooperation Between China and Other Global South Countries
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作者 Xu Jian 《Contemporary World》 2025年第3期8-13,共6页
Artificial intelligence(AI),as a strategic technology leading the new round of technological revolution and industrial transformation,has profoundly changed the way humans produce and live.The Communist Party of China... Artificial intelligence(AI),as a strategic technology leading the new round of technological revolution and industrial transformation,has profoundly changed the way humans produce and live.The Communist Party of China(CPC)and the Chinese government attach great importance to AI development and have improved top-level design and strengthened implementation efforts in recent years,driving a holistic and systematic advancement of China’s comprehensive AI strength.In contrast,many other Global South countries,due to limitations in technology,capital,and material resources,lag far behind developed countries in AI development,further widening the global intelligence divide.On April 25,2025,the Political Bureau of the CPC Central Committee held its 20th collective study session on strengthening the development and regulation of AI. 展开更多
关键词 technological revolution cooperation artificial intelligence ai implementation efforts ai development top level design industrial transformation Global South
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Promoting the high-quality development of AI
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作者 Wang Mengying 《China Standardization》 2025年第5期24-24,共1页
Taking its advantages as a state-owned financial institution,the Bank of China Shanghai Branch has formulated the action plan for the high-quality development of AI,which includes ten aspects.First,it will invest no l... Taking its advantages as a state-owned financial institution,the Bank of China Shanghai Branch has formulated the action plan for the high-quality development of AI,which includes ten aspects.First,it will invest no less than 100 billion yuan in the next five years to provide strong comprehensive financial support for various entities in Shanghai’s entire AI industry chain. 展开更多
关键词 state owned financial institution financial support high quality development ai development action plan ai industry chain
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Redefining the Programmer:Human-AI Collaboration,LLMs,and Security in Modern Software Engineering
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作者 Elyson De La Cruz Hanh Le +2 位作者 Karthik Meduri Geeta Sandeep Nadella Hari Gonaygunta 《Computers, Materials & Continua》 2025年第11期3569-3582,共14页
The rapid integration of artificial intelligence(AI)into software development,driven by large language models(LLMs),is reshaping the role of programmers from traditional coders into strategic collaborators within Indu... The rapid integration of artificial intelligence(AI)into software development,driven by large language models(LLMs),is reshaping the role of programmers from traditional coders into strategic collaborators within Industry 4.0 ecosystems.This qualitative study employs a hermeneutic phenomenological approach to explore the lived experiences of Information Technology(IT)professionals as they navigate a dynamic technological landscape marked by intelligent automation,shifting professional identities,and emerging ethical concerns.Findings indicate that developers are actively adapting to AI-augmented environments by engaging in continuous upskilling,prompt engineering,interdisciplinary collaboration,and heightened ethical awareness.However,participants also voiced growing concerns about the reliability and security of AI-generated code,noting that these tools can introduce hidden vulnerabilities and reduce critical engagement due to automation bias.Many described instances of flawed logic,insecure patterns,or syntactically correct but contextually inappropriate suggestions,underscoring the need for rigorous human oversight.Additionally,the study reveals anxieties around job displacement and the gradual erosion of fundamental coding skills,particularly in environments where AI tools dominate routine development tasks.These findings highlight an urgent need for educational reforms,industry standards,and organizational policies that prioritize both technical robustness and the preservation of human expertise.As AI becomes increasingly embedded in software engineering workflows,this research offers timely insights into how developers and organizations can responsibly integrate intelligent systems to promote accountability,resilience,and innovation across the software development lifecycle. 展开更多
关键词 Human-ai collaboration large language models ai security developer identity ethical ai in software development ai-assisted programming
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The Symbiotic Relationship Unraveling the Interplay between Technology and Artificial Intelligence(An Intelligent Dynamic Relationship) 被引量:1
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作者 Bahman Zohuri Farhang Mossavar-Rahmani 《Journal of Energy and Power Engineering》 2023年第2期63-68,共6页
This article investigates the dynamic relationship between technology and AI(artificial intelligence)and the role that societal requirements play in pushing AI research and adoption.Technology has advanced dramaticall... This article investigates the dynamic relationship between technology and AI(artificial intelligence)and the role that societal requirements play in pushing AI research and adoption.Technology has advanced dramatically throughout the years,providing the groundwork for the rise of AI.AI systems have achieved incredible feats in various disciplines thanks to advancements in computer power,data availability,and complex algorithms.On the other hand,society’s needs for efficiency,enhanced healthcare,environmental sustainability,and personalized experiences have worked as powerful accelerators for AI’s progress.This article digs into how technology empowers AI and how societal needs dictate its progress,emphasizing their symbiotic relationship.The findings underline the significance of responsible AI research,which considers both technological prowess and ethical issues,to ensure that AI continues to serve the greater good. 展开更多
关键词 TECHNOLOGY ai SOCIETY evolution advancements computing power data availability algorithms efficiency healthcare environmental sustainability personalized experiences automation machine learning natural language processing image recognition predictive analysis cloud computing BD(big data) user experience innovation ethical considerations responsible ai development
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中国医学影像人工智能20年回顾和展望 被引量:15
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作者 蒋希 袁奕萱 +5 位作者 王雅萍 肖振祥 朱美芦 陈泽华 刘天明 沈定刚 《中国图象图形学报》 CSCD 北大核心 2022年第3期655-671,共17页
在过去20年里,医学影像技术、人工智能技术以及这两项技术相结合的临床应用都取得了长足发展。中国在该领域的研究也取得卓越成就,并且在全世界范围内的贡献比例仍在逐步提高。为了记录和总结国内同行的科研成果,本文对中国医学影像人... 在过去20年里,医学影像技术、人工智能技术以及这两项技术相结合的临床应用都取得了长足发展。中国在该领域的研究也取得卓越成就,并且在全世界范围内的贡献比例仍在逐步提高。为了记录和总结国内同行的科研成果,本文对中国医学影像人工智能过去20年的发展历程进行回顾和展望。重点分析了国内同行在公认的医学影像人工智能领域的国际顶级刊物Medical Image Analysis(MedIA)和IEEE Transactions on Medical Imaging(TMI)以及顶级会议Medical Image Computing and Computer Assisted Intervention(MICCAI)发表的论文,定量统计了论文发表数量、作者身份、发表单位、作者合作链、关键词和被引次数等信息。同时总结了近20年中国医学影像人工智能发展进程中的重要事件,包括举办的医学影像人工智能知名国际和国内会议、《中国医学影像AI白皮书》的发布以及国内同行在COVID-19(corona virus disease 2019)期间的贡献,最后展望了中国医学影像人工智能领域未来的发展趋势。上述统计结果系统性地反映了在过去20年里中国在医学影像人工智能领域所取得的突出成绩。许多研究论文的作者将数据和源代码公开给全世界共享,为全世界医学影像人工智能的科研和教学做出了杰出贡献。通过本文中国医学影像人工智能领域的发展历程,可为医学影像人工智能同行,尤其为新一代的学者和学生提供科研和教学参考,也为继续促进和加强国际合作交流,为全世界该领域进一步的蓬勃发展做出重要贡献。 展开更多
关键词 医学影像 人工智能(ai) 发展历程 国际合作 定量统计
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构建发育生物学智慧课堂的策略
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作者 侯静 郭恩棉 《创新创业理论研究与实践》 2025年第16期42-44,共3页
互联网与人工智能(Artificial Intelligence,AI)技术的蓬勃发展,为智慧教学创造了条件,教育领域迎来了新的变革。发育生物学作为生物学的重要分支,其教学设计面临着诸多机遇和挑战。该文阐述基于互联网和AI构建发育生物学智慧教学课堂... 互联网与人工智能(Artificial Intelligence,AI)技术的蓬勃发展,为智慧教学创造了条件,教育领域迎来了新的变革。发育生物学作为生物学的重要分支,其教学设计面临着诸多机遇和挑战。该文阐述基于互联网和AI构建发育生物学智慧教学课堂的设计方案,涵盖课前资源建设与教学设计探索、课中创新教学及AI辅助教学、课后教学交流与科学评价等方面,旨在优化教学方式,提升教学质量和效率,满足学生的发展需求,培养其创新思维和科研能力。 展开更多
关键词 互联网 ai 发育生物学 智慧课堂 智慧教学 教学方式
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人工智能赋能教育的理论演进框架与趋势 被引量:3
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作者 阎琨 段梦涵 张雨颀 《清华大学教育研究》 北大核心 2025年第2期33-42,84,共11页
本文首先探讨了人工智能赋能教育的国际理论的演进框架,即人工智能赋能教育可以分为四个阶段--前人工智能教育阶段、人工智能教育的理论阶段、人工智能教育的技术阶段和人工智能教育的产业阶段的嬗变框架。在理论演进的基础上,论文提出... 本文首先探讨了人工智能赋能教育的国际理论的演进框架,即人工智能赋能教育可以分为四个阶段--前人工智能教育阶段、人工智能教育的理论阶段、人工智能教育的技术阶段和人工智能教育的产业阶段的嬗变框架。在理论演进的基础上,论文提出了人工智能赋能教育呈现出的三个演进趋势:技术趋势、教育趋势和应用趋势。论文进而探讨了人工智能赋能教育在演进中所面临的挑战,即理论挑战、范式挑战以及价值观与应用挑战。 展开更多
关键词 人工智能 赋能教育 理论演进
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