分类: 管理学 >> 公共管理 分类: 计算机科学 >> 自然语言理解与机器翻译 分类: 图书馆学、情报学 >> 情报学 分类: 其他 >> 综合 提交时间: 2023-10-31
摘要: Purpose/significance ChatGPT is a chatbot program developed by OpenAI in the United States. A dialog with ChatGPT can provide insights into the theory and practice of think tanks. Method/process Currently, GPT-3.5 offers users a free query quota of 30 queries per day. Chen Yu has engaged in a dialog with ChatGPT on a number of issues related to the theory and practice of think tanks by creating an outline for the dialog. Result/conclusion AI technology, represented by ChatGPT, offers many opportunities for the think tank industry, including enhanced research capabilities, data-driven decision-making, and improved public engagement. However, it also poses challenges related to ethics, expertise, transparency, and workforce adaptability that think tanks need to seriously address. In the age of AI, Chinese think tanks and experts need to keep up with the trend and proactively adopt the AI technology represented by ChatGPT.
分类: 其他 >> 综合 分类: 计算机科学 >> 自然语言理解与机器翻译 分类: 图书馆学、情报学 >> 情报学 分类: 管理学 >> 公共管理 提交时间: 2023-10-30
摘要: Purpose/significance ChatGPT is a chatbot program developed by OpenAI in the United States. Conversations with ChatGPT can shed light on Dialogue of Civilizations in the age of AI. Method/process Currently, GPT-3.5 offers users 30 free query credits per day. By creating an outline for the conversation, Chen Yu engaged in a dialog with ChatGPT on various issues of Dialogue of Civilizations. Result/conclusion Today, the Standard of Civilization has long been abandoned, and the Clash of Civilizations has been widely criticized. In the era of AI, the AI technology represented by ChatGPT can help promote the Dialogue of Civilizations, help realize real-time communication between people of different cultural backgrounds, enhance the understanding and appreciation of different civilizations, and identify and alleviate prejudices in the dialogue of civilizations. At the same time, the AI technology represented by ChatGPT can also help promote Dialogue within Civilizations and play a positive role in resolving civil conflicts, promoting the integration of immigrants, protecting the voices of vulnerable groups, giving full play to the unique value of women, and building an age-friendly society. However, AI technologies must be developed and used with caution and with due regard to ethical considerations, in particular to prevent AI algorithms from perpetuating prejudices and reinforcing existing inequalities.
分类: 其他 >> 综合 分类: 计算机科学 >> 自然语言理解与机器翻译 分类: 图书馆学、情报学 >> 情报学 分类: 管理学 >> 公共管理 提交时间: 2023-10-30
摘要: 目的/意义 ChatGPT是美国OpenAI公司研发的一种聊天机器人程序。与ChatGPT进行对话,能够为AI时代的文明的对话提供启示。 方法/过程 目前,GPT-3.5每日向用户免费提供30次的查询额度。陈瑜通过精心设计对话提纲,与ChatGPT就文明的对话的若干问题展开了对话。 结果/结论 今天,文明的标准早已被摒弃,文明的冲突也受到了广泛的批评。在AI时代,以ChatGPT为代表的AI技术有助于促进文明的对话,帮助实现不同文化背景的人们之间的实时交流,增进对不同文明的理解和欣赏,识别和缓解文明对话中的偏见。同时,以ChatGPT为代表的AI技术也有助于促进文明内的对话,在解决国内冲突、促进移民融合、保护弱势群体的话语权、发挥妇女的独特价值、建设老年友好型社会等方面发挥积极作用。但是,在开发和运用AI技术时,必须谨慎从事,充分考虑伦理因素,特别是要防止AI算法延续偏见并强化现有的不平等。
分类: 数字出版 >> 数字新闻 分类: 计算机科学 >> 自然语言理解与机器翻译 分类: 图书馆学、情报学 >> 情报学 分类: 法学 >> 法律人工智能 分类: 其他 >> 综合 提交时间: 2023-10-25
摘要: Purpose/significance ChatGPT is a chatbot program developed by OpenAI in the United States. Conversations with ChatGPT can shed light on the media and communication industry in the age of AI. Method/process Currently, GPT-3.5 offers users 30 free query credits per day. By creating an outline for the conversation, Chen Yu engaged in a dialog with ChatGPT on various issues of the media and communication industry. Result/conclusion AI technology, represented by ChatGPT, has a huge impact on the media and communication industry. In the AI era, the media and communication industry should enthusiastically embrace AI technology and use it responsibly to provide a better experience for audiences. At the same time, the government, technology companies, civil society organizations, individuals, etc. should work together with the media and communication industry to solve the problems of fake news, cyber harassment, and information cocoon that may be brought about by AI technology.
分类: 数字出版 >> 数字新闻 分类: 计算机科学 >> 自然语言理解与机器翻译 分类: 图书馆学、情报学 >> 情报学 分类: 法学 >> 法律人工智能 分类: 其他 >> 综合 提交时间: 2023-10-25
摘要: 目的/意义 ChatGPT是美国OpenAI公司研发的一种聊天机器人程序。与ChatGPT进行对话,能够为AI时代的新闻传播提供启示。 方法/过程 目前,GPT-3.5每日向用户免费提供30次的查询额度。陈瑜通过精心设计对话提纲,与ChatGPT就新闻传播的若干问题展开了对话。 结果/结论 以ChatGPT为代表的AI技术正在给新闻传播带来巨大的冲击。在AI时代,新闻传播行业要热情拥抱AI技术,负责任地运用AI技术,为受众提供更好的体验。同时,政府、技术公司、民间社会组织、个人等要和新闻传播行业一道,共同解决好AI技术可能带来的假新闻、网络骚扰、信息茧房等问题。
分类: 计算机科学 >> 自然语言理解与机器翻译 分类: 管理学 >> 公共管理 分类: 法学 >> 法律人工智能 分类: 图书馆学、情报学 >> 情报学 分类: 其他 >> 综合 提交时间: 2023-10-23
摘要: Purpose/significance Today, countries around the world are accelerating their transformation to digital government. Conversations with ChatGPT can shed light on the digital government transformation in the age of AI. Method/process Currently, GPT-3.5 offers users 30 free query credits per day. By creating an outline for the conversation, Chen Yu engaged in a dialog with ChatGPT on various issues of the digital government transformation. Result/conclusion In the age of AI, AI technologies, such as ChatGPT, have the potential to revolutionize digital government transformation by increasing efficiency, improving service delivery, and enabling data-driven decision making. While the benefits are immense, governments must also address issues of ethics, bias, and workforce adaptation to ensure responsible and inclusive AI deployments that deliver better services and work outcomes for their citizens.
分类: 图书馆学、情报学 >> 情报学 分类: 法学 >> 法律人工智能 分类: 其他 >> 综合 分类: 管理学 >> 公共管理 分类: 计算机科学 >> 自然语言理解与机器翻译 提交时间: 2023-10-23
摘要: 目的/意义 当前,世界各国正在加快向数字政府转型。与ChatGPT进行对话,能够为AI时代的数字政府转型提供启示。 方法/过程 目前,GPT-3.5每日向用户免费提供30次的查询额度。陈瑜通过精心设计对话提纲,与ChatGPT就数字政府转型的若干问题展开了对话。 结果/结论 在AI时代,以ChatGPT为代表的AI技术有可能彻底改变数字政府转型,提高效率,改善服务提供,并实现数据驱动的决策。虽然好处巨大,但政府也必须解决伦理、偏见和劳动力适应问题,以确保负责任和包容性的AI部署,为其公民提供更好的服务和工作成果。
分类: 计算机科学 >> 自然语言理解与机器翻译 分类: 图书馆学、情报学 >> 情报检索 分类: 管理学 >> 科学学与科技管理 分类: 其他 >> 综合 提交时间: 2023-09-22
摘要: Purpose/significance ChatGPT is a chatbot program developed by OpenAI in the United States. Conversations with ChatGPT can shed light on the scientific research in the age of AI. Method/process Currently, ChatGPT offers users 30 free query credits per day. By creating an outline for the conversation, Chen Yu engaged in a dialog with ChatGPT on various issues of the scientific research. Result/conclusion In the AI era, the AI technology represented by ChatGPT can become a game-changer in scientific research. Specifically, AI technology represented by ChatGPT can achieve faster data analysis, hypothesis generation, and decision making, trigger paradigm innovation in scientific research, promote interdisciplinary research, discover new research problems and research directions, lower the barriers to entry to scientific research, and promote scientific popularization and knowledge dissemination. At the same time, there are a number of potential risks associated with the use of AI technology represented by ChatGPT in scientific research, including privacy or data security issues, over-reliance on AI technology, rigidity of thinking, stereotyping or even prejudice against certain genders, races, cultures, languages and ideologies, intellectual property rights, workforce adaptation, academic misconduct, and digital hegemony or AI hegemony in the English-speaking world.
分类: 计算机科学 >> 自然语言理解与机器翻译 分类: 图书馆学、情报学 >> 情报检索 分类: 其他 >> 综合 分类: 管理学 >> 科学学与科技管理 提交时间: 2023-09-22
摘要: 目的/意义 ChatGPT是美国OpenAI公司研发的一种聊天机器人程序。与ChatGPT进行对话,能够为AI时代的科学研究提供启示。 方法/过程 目前,ChatGPT每日向用户免费提供30次的查询额度。陈瑜通过精心设计对话提纲,与ChatGPT就科学研究的若干问题展开了对话。 结果/结论 在AI时代,以ChatGPT为代表的AI技术可能成为科学研究中的规则改变者。具体来说,以ChatGPT为代表的AI技术可以实现更快的数据分析、假设生成和决策制定,引发科学研究的范式创新,推动跨学科研究,发现新的研究问题和研究方向,降低科学研究的准入障碍,推动科学普及和知识传播等。同时,在科学研究中运用以ChatGPT为代表的AI技术可能存在一系列的潜在风险,包括隐私或数据安全问题,对AI技术的过度依赖,思维僵化,对特定性别、种族、文化、语言和意识形态的刻板印象甚至偏见,知识产权问题,劳动力适应问题,学术不端问题,以及英语世界的数字霸权或AI霸权等。
分类: 计算机科学 >> 自然语言理解与机器翻译 分类: 图书馆学、情报学 >> 机器翻译 提交时间: 2023-04-18
摘要: 目前主流的人工智能,普遍采用注意力机制 + 深度学习+强化学习的技术道路。我们认为强化学习无法适用到那些难以大量试错的领域。所以,要想实现能适用于任何领域的通用人工智能,我们必须转变实现道路。所以,我们提出了一套不同于深度学习+强化学习的机器学习方案,它通过小样本、累积学习,同样实现了和 transformer 相似的注意力机制,也同样创建了全连接知识网络。并且,它不需要采用试错学习的方式,就可以实现和环境的互动决策。并且人类可以给它预置不同的先天需求,来实现多目标平衡,从而实现远高于目前人工智能的安全性。在本文中,我们提出了一套从0 到1 的新机器学习技术方案。
分类: 计算机科学 >> 自然语言理解与机器翻译 分类: 图书馆学、情报学 >> 情报过程自动化的方法和设备 提交时间: 2019-10-29
摘要: Purpose: Move recognition in scientific abstracts is an NLP task of classifying sentences of the abstracts into different types of language unit. To improve the performance of move recognition in scientific abstracts, a novel model of move recognition is proposed that outperforms BERT-Base method. Design: Prevalent models based on BERT for sentence classification often classify sentences without considering the context of the sentences. In this paper, inspired by the BERT's Masked Language Model (MLM), we propose a novel model called Masked Sentence Model that integrates the content and contextual information of the sentences in move recognition. Experiments are conducted on the benchmark dataset PubMed 20K RCT in three steps. And then compare our model with HSLN-RNN, BERT-Base and SciBERT using the same dataset. Findings: Compared with BERT-Base and SciBERT model, the F1 score of our model outperforms them by 4.96% and 4.34% respectively, which shows the feasibility and effectiveness of the novel model and the result of our model comes closest to the state-of-the-art results of HSLN-RNN at present. Research Limitations: The sequential features of move labels are not considered, which might be one of the reasons why HSLN-RNN has better performance. And our model is restricted to dealing with bio-medical English literature because we use dataset from PubMed which is a typical bio-medical database to fine-tune our model. Practical implications: The proposed model is better and simpler in identifying move structure in scientific abstracts, and is worthy for text classification experiments to capture contextual features of sentences. Originality: The study proposes a Masked Sentence Model based on BERT which takes account of the contextual features of the sentences in abstracts in a new way. And the performance of this classification model is significantly improved by rebuilding the input layer without changing the structure of neural networks.
分类: 图书馆学、情报学 >> 文献标引与编目 分类: 计算机科学 >> 自然语言理解与机器翻译 提交时间: 2016-04-28
摘要: [目的]拓展以物种为中心的生物多样性知识抽取框架,探索实现语义知识抽取方法。[方法]结合当前生物多样性抽取的主流研究,以物种为中心,设计包含多种实体及实体间关系的知识抽取框架,利用已有的众多专业数据库,设计并实现相应的识别方法。[结果]设计了以物种为核心的知识抽取框架,探索实现了多种实体及实体间关系的语义知识抽取方法,拓展了生物多样性领域抽取内容和思路。[局限]本研究实体识别的完整性和准确性受底层知识库影响较大,且实体间关系的类型局限于共现、上下位类、语法关系几类,还需进一步研究。[结论] 拓展了生物多样性领域抽取内容和思路,可有效支持后续的语义检索、科学计算。