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国际科学理事会(ISC):为人工智能做好国家研究生态系统准备:战略与进展(第三版)(2026)(英文版)(168页).pdf

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1、1Preparing National Research Ecosystems for AITHIRD EDITION(2026)International Science Council,2026.Preparing National Research Ecosystems for AI third edition(2026)is published by The International Science Council,5 rue Auguste Vacquerie,75116 Paris,FranceTo cite this document:Title:Preparing Natio

2、nal Research Ecosystems for AI third editionURL:https:/council.science/publications/ai-science-systemsThe first and second editions of the paper can be found on the same page.Publisher:International Science CouncilDate:February 2026DOI:10.24948/2026.02Acknowledgments:The ISC Centre for Science Futur

3、es acknowledges the support and helpof partners for four regional workshops:the Australian Academy of Science and Academy of Sciences in Malaysia in the organization of a workshop in KualaLumpur,the Latin American Initiative for Open Data(ILDA)and the Colombian Academy of Exact,Physical and Natural

4、Sciences(ACCEFYN)for the workshop in Chile,the Ministry of Higher Education,Research and Innovation(MOHERI)in Oman for the workshop in Muscat and the African Academy of Sciences for the workshop in Nairobi.The Centre also thanks Nicola Ragazzi,Dureen Samandar Eweis and Alessandra Turrisi for their c

5、ontributions in bringing the case studies to their finalization.This work was carried out with the aid of a grant from the International Development Research Centre(IDRC),Ottawa,Canada.The views expressedhereindo not necessarilyrepresentthose of the IDRC or its Board of Governors.About the Centre fo

6、r Science Futures:The ISC Centre for Science Futures explores where changes in science and the organization of science are taking us in the future.The Centre for Science Futures works to improve our understanding,and provide options and tools for impact and action.About the International Science Cou

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1. **报告背景**:国际科学理事会(ISC)2026年第三版《为国家研究生态系统准备人工智能》,涵盖26国案例,聚焦AI对科研生态的影响,尤其关注全球南方国家。 2. **核心挑战**: - **治理缺失**:多数国家AI战略缺乏科研细节(如作者署名、可复现性),加剧科研诚信风险。 - **基础设施不足**:低收入国家依赖外部算力(如肯尼亚、斐济),制约科研自主性。 - **数据与人才短板**:数据治理不完善(如巴西缺乏统一标准),AI技能短缺导致人才流失(如斐济)。 3. **关键行动**: - 投资国内/区域算力,建立可信研究云。 - 强化数据管理(FAIR/CARE原则),协调知识产权政策。 - 培训科研人员,制定AI伦理指南。 4. **环境风险**:AI能耗问题未被充分纳入国家规划(如埃及、匈牙利)。
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