【目的】围绕AI场景下科学数据的共享与利用问题,针对现有FAIR原则不足以指导科学数据满足AI就绪的现状,构建面向AI就绪的科学数据共享与利用原则框架。【方法】通过系统梳理传统机器学习、大模型预训练、大模型微调、检索增强生成及智...【目的】围绕AI场景下科学数据的共享与利用问题,针对现有FAIR原则不足以指导科学数据满足AI就绪的现状,构建面向AI就绪的科学数据共享与利用原则框架。【方法】通过系统梳理传统机器学习、大模型预训练、大模型微调、检索增强生成及智能体等5类典型AI任务的数据需求,在传统FAIR“四可”维度的基础上,提出面向AI就绪(即For AI Ready)的科学数据共享与利用原则框架FAIR×FAIR,进而提出与框架相适应的层次化技术栈。【结果】FAIR×FAIR框架明确了13项科学数据满足AI就绪的技术要求,为弥合AI任务与科学数据之间的语义鸿沟提供了系统化方案。【局限】本研究提出的原则框架其实施效果仍需通过后续领域应用案例进一步验证。【结论】FAIR×FAIR框架为AI时代的科学数据共享与高效利用提供了理论依据和实践路径,对推动数据驱动型科研范式的演进具有重要意义。展开更多
This paper is discussing several features of the impact of AI(artificial intelligence)on society and human behavior.It includes(1)the question if the AI can outperform the intelligent and creative capacity of humans,(...This paper is discussing several features of the impact of AI(artificial intelligence)on society and human behavior.It includes(1)the question if the AI can outperform the intelligent and creative capacity of humans,(2)if AI capabilities could show criticality and causal emergence,(3)the predictive capacity of AI,(4)the costs related to the learning process and operating AI,and(5)the loss of consensual reality and the rise of deepfakes in the AI era.AI involves considerable systemic risks impacting the social,economic,cultural,and environmental systems.Our will is kept in accordance with how the things around us are presented to us and that is precisely what AI is also doing.For us circumstances define a situation or a moment.For AI the circumstances are just statistical relationships.AI does not have its own values but incorporates the values on which it is trained.The imaginative gap between humans and AI is not just big;it’s of an essential nature.We want not just technology in the online world;we want a moral attitude.展开更多
文摘【目的】围绕AI场景下科学数据的共享与利用问题,针对现有FAIR原则不足以指导科学数据满足AI就绪的现状,构建面向AI就绪的科学数据共享与利用原则框架。【方法】通过系统梳理传统机器学习、大模型预训练、大模型微调、检索增强生成及智能体等5类典型AI任务的数据需求,在传统FAIR“四可”维度的基础上,提出面向AI就绪(即For AI Ready)的科学数据共享与利用原则框架FAIR×FAIR,进而提出与框架相适应的层次化技术栈。【结果】FAIR×FAIR框架明确了13项科学数据满足AI就绪的技术要求,为弥合AI任务与科学数据之间的语义鸿沟提供了系统化方案。【局限】本研究提出的原则框架其实施效果仍需通过后续领域应用案例进一步验证。【结论】FAIR×FAIR框架为AI时代的科学数据共享与高效利用提供了理论依据和实践路径,对推动数据驱动型科研范式的演进具有重要意义。
文摘This paper is discussing several features of the impact of AI(artificial intelligence)on society and human behavior.It includes(1)the question if the AI can outperform the intelligent and creative capacity of humans,(2)if AI capabilities could show criticality and causal emergence,(3)the predictive capacity of AI,(4)the costs related to the learning process and operating AI,and(5)the loss of consensual reality and the rise of deepfakes in the AI era.AI involves considerable systemic risks impacting the social,economic,cultural,and environmental systems.Our will is kept in accordance with how the things around us are presented to us and that is precisely what AI is also doing.For us circumstances define a situation or a moment.For AI the circumstances are just statistical relationships.AI does not have its own values but incorporates the values on which it is trained.The imaginative gap between humans and AI is not just big;it’s of an essential nature.We want not just technology in the online world;we want a moral attitude.
