人工智能类外文文献毕业论文（期刊论文，学位论文）都有哪些？

　　本文是为大家整理的人工智能主题相关的10篇外文毕业论文文献， 包括5篇期刊论文，5篇学位论文，为人工智能选题相关人员撰写毕业论文提供参考。

　　1.[期刊论文]The adaptation of anthropomorphism and archetypes for marketing artificial intelligence

　　标题翻译:促进人工智能促进人工智能的拟人体和原型

　　期刊：《Journal of Consumer Marketing》 | 2021 年第 2 期

　　摘要：Purpose - This paper aims to present an exploration of possible associations between the Jungian archetypes frequently used in marketing and three well-known products based on artificial intelligence (AI), namely, Sophia, Alexa and Articoolo. Design/methodology/approach - The study conducted emotionalist interviews to gather thick data from 11 participants on how they conceptualize these AI-based products. In the absence of any existing relevant hypotheses, this paper attempts to build theory using a case study approach and qualitative analysis of interview narratives. Findings - Despite the human attributes ascribed to these products, participants were principally concerned with their purpose, efficiency and the degree of trust which they felt could be accorded to the product. Anthropomorphism emerged as significant with participants making some associations with common archetypes traditionally exploited in marketing and this suggests a possible means of enhancing consumer trust in AI products. Originality/value - Little research has been conducted on the marketing of AI and this study presents a timely identification of some potentially significant issues. As AI is intended to mimic some aspects of human intelligence, the role of the archetype in creating a personality to enhance trust may prove crucial in securing consumer confidence.

　　摘要翻译：目的 - 本文的目的是提出了一种基于人工智能（AI），即，索菲亚，Alexa和Articoolo营销常用荣格的原型和三个知名产品之间的可能关联的探索。设计/方法/方式 - 研究进行emotionalist采访，从11名人参加收集有关他们如何概念化这些基于AI-产品厚数据。在没有任何现有的相关假设，采用了案例研究的方法和面试叙述的定性分析，本文试图建立理论。调查结果 - 尽管归因于这些产品的人的属性，参加者主要是关心他们的目的，效率和信任，他们认为可以给予该产品的程度。拟人成为显著参与者做一些协会共同原型开发的传统营销和这表明增强AI省消费者信得过产品的可能手段。独创性/价值 - 小研究人工智能的营销和这项研究提出的一些潜在的问题显著及时识别已进行。由于AI是为了模仿人类智力的某些方面，该原型的创建个性，以增强信任的作用可能被证明在确保消费者的信心是至关重要的。

　　关键词：Marketing；Artificial intelligence (AI)；Anthropomorphism；Archetype；The AI archetype；Promotion

　　关键词翻译：营销；人工智能（AI）；拟人；原型；AI原型；晋升

　　链接：https://www.zhangqiaokeyan.com/academic-journal-foreign_journal-consumer-marketing_thesis/0204121673025.html

　　---------------------------------------------------------------------------------------------------

　　2.[期刊论文]Artificial Intelligence (AI) Ethics: Ethics of AI and Ethical AI

　　标题翻译:人工智能（AI）伦理学：人工智能伦理学和人工智能伦理学

　　期刊：《Journal of database management》 | 2020 年第 2 期

　　摘要：Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy, and ethical problems of AI-based technology pose significant risks for users, developers, humanity, and societies. As AI advances, one critical issue is how to address the ethical and moral challenges associated with AI. Even though the concept of "machine ethics" was proposed around 2006, AI ethics is still in the infancy stage. AI ethics is the field related to the study of ethical issues in AI. To address AI ethics, one needs to consider the ethics of AI and how to build ethical AI. Ethics of AI studies the ethical principles, rules, guidelines, policies, and regulations that are related to AI. Ethical AI is an AI that performs and behaves ethically. One must recognize and understand the potential ethical and moral issues that may be caused by AI to formulate the necessary ethical principles, rules, guidelines, policies, and regulations for AI (i.e., Ethics of AI). With the appropriate ethics of AI, one can then build AI that exhibits ethical behavior (i.e., Ethical AI). This paper will discuss AI ethics by looking at the ethics of AI and ethical AI What are the perceived ethical and moral issues with AI? What are the general and common ethical principles, rules, guidelines, policies, and regulations that can resolve or at least attenuate these ethical and moral issues with AI? What are some of the necessary features and characteristics of an ethical AI? How to adhere to the ethics of AI to build ethical AI?

　　摘要翻译：基于人工智能（AI）的技术已经实现了许多伟大的成就，例如面部识别，医学诊断和自动驾驶汽车。人工智能有望为经济增长，社会发展以及人类福祉和安全改善带来巨大利益。但是，基于AI的技术的低级可解释性，数据偏见，数据安全性，数据隐私和道德问题对用户，开发人员，人类和社会构成了重大风险。随着AI的发展，一个关键问题是如何应对与AI相关的道德和道德挑战。即使在2006年左右提出了“机器伦理”的概念，但AI伦理仍处于起步阶段。 AI伦理学是与AI伦理学问题相关的领域。为了解决AI伦理问题，需要考虑AI伦理以及如何建立道德AI。 AI的伦理学研究与AI相关的伦理原则，规则，准则，政策和法规。道德AI是一种表现和行为符合道德的AI。必须认识到并理解AI可能引起的潜在道德和道德问题，以便为AI制定必要的道德原则，规则，准则，政策和法规（即AI道德）。有了适当的AI道德规范，人们就可以构建表现出道德行为的AI（即Ethical AI）。本文将通过探讨AI伦理和AI伦理来讨论AI伦理。AI的伦理和道德问题是什么？有哪些通用和通用的道德原则，规则，指南，政策和法规可以解决或至少减轻AI的这些道德和道德问题？道德AI的一些必要特征是什么？如何坚持AI伦理建设AI伦理？

　　关键词：AI Ethics；Artificial Intelligence；Ethical AI；Ethics；Ethics of AI；Machine Ethics；Roboethics

　　关键词翻译：AI伦理；人工智能；道德AI；伦理；人工智能的伦理；机器伦理；机器人伦理学

　　链接：https://www.zhangqiaokeyan.com/academic-journal-foreign_journal-database-management_thesis/0204113743465.html

　　---------------------------------------------------------------------------------------------------

　　3.[期刊论文]Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound

　　标题翻译:用人工智能在对比度增强超声中使用人工智能对肝细胞癌患者进行常规化疗栓塞的反应预测

　　期刊：《European radiology》 | 2020 年第 4 期

　　摘要：Objectives We aimed to establish and validate an artificial intelligence-based radiomics strategy for predicting personalized responses of hepatocellular carcinoma (HCC) to first transarterial chemoembolization (TACE) session by quantitatively analyzing contrast-enhanced ultrasound (CEUS) cines. Methods One hundred and thirty HCC patients (89 for training, 41 for validation), who received ultrasound examination (CEUS and B-mode) within 1 week before the first TACE session, were retrospectively enrolled. Ultrasonographic data was used for building and validating deep learning radiomics-based CEUS model (R-DLCEUS), machine learning radiomics-based time-intensity curve of CEUS model (R-TIC), and machine learning radiomics-based B-Mode images model (R-BMode), respectively, to predict responses (objective-response and non-response) to TACE with reference to modified response evaluation criteria in solid tumor. The performance of models was compared by areas under the receiver operating characteristic curve (AUC) and the DeLong test was used to compare different AUCs. The prediction robustness was assessed for each model. Results AUCs of R-DLCEUS, R-TIC, and R-BMode were 0.93 (95% CI, 0.80-0.98), 0.80 (95% CI, 0.64-0.90), and 0.81 (95% CI, 0.67-0.95) in the validation cohort, respectively. AUC of R-DLCEUS shows significant difference compared with that of R-TIC (p = 0.034) and R-BMode (p = 0.039), whereas R-TIC was not significantly different from R-BMode. The performance was highly reproducible with different training and validation cohorts. Conclusions DL-based radiomics method can effectively utilize CEUS cines to achieve accurate and personalized prediction. It is easy to operate and holds good potential for benefiting TACE candidates in clinical practice.

　　摘要翻译：我们旨在通过定量分析对比度增强的超声（CEUS）CINE来预测肝细胞癌（HCC）对肝细胞癌（HCC）的个性化反应来预测肝细胞癌（HCC）的个性化反应。方法有一百三十名HCC患者（89培训，验证41），在第一个TACE会议前1周内接受超声检查（CEUS和B模式）的回顾性注册。超声数据用于建设和验证基于深度学习的基于深度学习的CEUS模型（R-DLCEUS），CEUS模型（R-TIC）的基于机器学习的基于机器的时间强度曲线，以及基于机器学习的基于机器的B模式图像模型（R-BMODE）分别在参考实体肿瘤的修饰响应评估标准中预测TACE的响应（客观响应和非反应）。通过接收器操作特性曲线（AUC）下的区域进行了模型的性能，并且使用DELONG测试来比较不同的AUC。对每个模型评估预测稳健性。结果R-DLCEUS，R-TIC和R-BMODE的AUC为0.93（95％CI，0.80-0.98），0.80（95％CI，0.64-0.90），0.81（95％CI，0.67-0.95）验证队列分别。 R-DLCEUS的AUC显示出与R-TIC（P = 0.034）和R-BMODE（P = 0.039）相比的显着差异，而R-TIC与R-BMODE没有显着不同。性能高度可重复，不同的培训和验证队列。结论基于DL的射线源方法可以有效地利用Ceus Cines来实现准确和个性化的预测。在临床实践中，易于运营，并持有良好的潜力，以便在临床实践中受益于TACE候选人。

　　关键词：Therapeutic chemoembolization；Hepatocellular carcinoma；Ultrasonography；Deep learning

　　关键词翻译：治疗化疗栓塞；肝细胞癌；超声检查；深度学习

　　链接：https://www.zhangqiaokeyan.com/journal-foreign-detail/0704023304506.html

　　---------------------------------------------------------------------------------------------------

　　4.[期刊论文]'Blessed by the algorithm':Theistic conceptions of artificial intelligence in online discourse

　　标题翻译:“受到算法的祝福”：在线话语中的人工智能人工智能的理念

　　期刊：《AI & society》 | 2020 年第 4 期

　　摘要："My first long haul flight that didn't fill up and an empty row for me. I have been blessed by the algorithm ". The phrase 'blessed by the algorithm' expresses the feeling of having been fortunate in what appears on your feed on various social media platforms, or in the success or virality of your content as a creator, or in what gig economy jobs you are offered. However, we can also place it within wider public discourse employing theistic conceptions of AI. Building on anthropological fieldwork into the 'entanglements of AI and Religion' (Singler 2017a), this article will explore how 'blessed by the algorithm' tweets are indicative of the impact of theistic AI narratives: modes of thinking about AI in an implicitly religious way. This thinking also represents continuities that push back against the secularisation thesis and other grand narratives of disenchantment that claim secularity occurs because of technological and intellectual progress. This article will also explore new religious movements, where theistic conceptions of AI entangle technological aspirations with religious ones.

　　摘要翻译：“我的第一个长期的飞行没有填满和我的空行。我一直被算法祝福”。这句话“由算法祝福”表示在各种社交媒体平台上出现的幸福感受，或者在您的内容作为创造者的成功或视点中，或者在您提供的演出经济工作中的成功或视点中，或者您提供的。但是，我们也可以将其放置在雇用AI的世卫概念中的更广泛的公众话语中。在人类学实地工作中建立进入“AI和宗教的纠缠”（Singler 2017a），本文将探讨“算法的祝福”推文是如何对神学的影响：以隐含的宗教方式思考AI的方式。这一思路还代表了持续反对世俗化论文和其他祛置的大叙事，索取世俗的事项是由于技术和知识分子进展。本文还将探讨新的宗教运动，其中AI与宗教展示的技术愿望。

　　关键词：Artificial intelligence；Religion；Algorithm；Theism；Social media

　　关键词翻译：人工智能；宗教；算法；有神论；社交媒体

　　链接：https://www.zhangqiaokeyan.com/academic-journal-foreign_ai-society_thesis/0204119850685.html

　　---------------------------------------------------------------------------------------------------

　　5.[期刊论文]グーグルの「AIファースト」戦略が加速深層学習用TPUや「AIを改善するAI」を発表

　　标题翻译:Google的“人工智能优先”策略宣布推出TPU，以加速深度学习，并宣布“改善人工智能的人工智能”

　　期刊：《日経エレクトロニクス》 | 2017 年第 1182 期

　　摘要：「モバイルファースト」から「AIファースト」へ2016年に戦略を転換した米Google社が、2017年5月に開催した開発者会議「Google I/O 2017」で、AIに関する新しい施策を相次ぎ発表した(表1)。最大の目玉は、ディープラーニング専用プロセッサー「Tensor Processing Unit (TPU)」の第2世代「Cloud TPU」だ(図1)。前回のGoogle I/Oで発表した第1世代TPUは推論専用で、8ビットの整数演算に特化していた。第2世代は浮動小数点演算も可能で学習にも使える。4個のプロセッサーと64Gバイトのメモリーを搭載するボードの性能は180TFLOPS。

　　摘要翻译：谷歌于2016年将其战略从``移动优先''转变为``人工智能优先''，并在2017年5月举行的开发者大会``Google I / O 2017''上宣布了一系列针对AI的新措施（表格1）。最大的功能是深度学习专用处理器“ Tensor Processing Unit（TPU）”的第二代“ Cloud TPU”（图1）。在上一届Google I / O上宣布的第一代TPU专门用于推理，并且专门研究8位整数运算。第二代还具有浮点运算能力，可用于学习。具有4个处理器和64GB内存的开发板的性能为180TFLOPS。

　　链接：https://www.zhangqiaokeyan.com/academic-journal-foreign_nikkei-electronics_thesis/0204113385366.html

　　---------------------------------------------------------------------------------------------------

　　6.[学位论文]Artificial Intelligence and Utility: Deep Problems for A.I. Ethics

　　标题翻译:人工智能和实用程序：人工智能的深层问题伦理

　　著录项

　　年度：2019

　　链接：https://www.zhangqiaokeyan.com/academic-degree-foreign_mphd_thesis/02061796741.html

　　---------------------------------------------------------------------------------------------------

　　7.[学位论文]Leveraging Machine Learning and Artificial Intelligence to Combat Human Trafficking =Aprovechando el Aprendizage Automatico y la Inteligencia Artifical Para Combatir el Trafico de Humanos

　　标题翻译:利用机器学习和人工智能打击人口贩运=利用机器学习和人工智能打击人口贩运

　　著录项

　　年度：2018

　　链接：https://www.zhangqiaokeyan.com/academic-degree-foreign_mphd_thesis/02061770860.html

　　---------------------------------------------------------------------------------------------------

　　8.[学位论文]Turning a Multivalent Lens toward Depictions of Artificial Intelligence (AI) in Film =Transformer une lentille multivalente en représentations de l'intelligence artificielle (IA) dans un film

　　标题翻译:将多价镜头转向电影中的人工智能（AI）描述=将多价镜头转变为电影中的人工智能（AI）表示

　　摘要：With innovations in the field of artificial intelligence (AI) advancing at an exponential rate, it is ever the more pertinent to interrogate the ramifications and potentialities of these developments. Luciano Floridi, known as "the Google philosopher," considers this phenomenon an integral part of the digital information age or the "Fourth Revolution." We are now forced to confront the following problems: What is the relationship between humans and AI? What does it mean to be "human"? What futures are possible given our current coevolution with AI? Such questions motivate close philosophical consideration. Here, the theoretical polarization of the doomsday neo-Luddite versus the overzealous futurist unnecessarily constrains philosophical dialogue.;While employing a feminist methodological approach, I turn to two films, Jonze's Her & Garland's Ex Machina, to explore these questions. The conditions of possibility that allowed for these films to emerge, point toward a simultaneous critique of phallogocentrism and anthropocentrism. Several frameworks---primarily feminist, psychoanalytic, Deleuzoguattarian, & Heideggerian---are deployed in this dissertation. Using visual media as the lens through which to probe these issues, I investigate how technology (AI specifically) changes what we consider to be human, our affective relation to technology, and how we coevolve with technology.

　　摘要翻译：随着人工智能（AI）领域的创新以指数级的速度发展，质疑这些发展的影响和潜力变得越来越重要。 Luciano Floridi，被称为“ Google哲学家”，认为这种现象是数字信息时代或“第四次革命”的组成部分。我们现在被迫面对以下问题：人类与AI之间的关系是什么？成为“人类”意味着什么？鉴于我们目前与AI的共同发展，未来会有什么可能？这些问题激发了紧密的哲学思考。在这里，世界末日新拉德主义者与狂热的未来主义者之间的理论上的两极分化不必要地限制了哲学上的对话。;虽然采用女性主义方法论方法，但我还是看了两部电影，即琼泽（Jonze）的《赫尔与加兰德》（Her＆Garland）的《前机械世界》（Ex Machina），以探讨这些问题。这些电影出现的可能性条件，指向同时批评人类中心主义和人类中心主义。本论文采用了几种框架，主要是女权主义，精神分析，Deleuzoguattarian和Heideggerian框架。我使用视觉媒体作为探究这些问题的镜头，研究技术（特别是AI）如何改变我们认为是人类的事物，我们对技术的情感关系以及我们如何与技术合作。

　　著录项

　　学科：Philosophy.;Film studies.;Artificial intelligence.

　　年度：2017

　　链接：https://www.zhangqiaokeyan.com/academic-degree-foreign_mphd_thesis/0206191876.html

　　---------------------------------------------------------------------------------------------------

　　9.[学位论文]Reconnaissance des defauts de la machine asynchrone: Application des modeles d'intelligence artificielle =Recognition of Asynchronous Machine Defects: Application of Artificial Intelligence Models

　　标题翻译:异步机器缺陷的识别：人工智能模型的应用=异步机器缺陷的识别：人工智能模型的应用

　　著录项

　　学科：Computer science.;Electrical engineering.;Information technology.

　　年度：2017

　　链接：https://www.zhangqiaokeyan.com/academic-degree-foreign_mphd_thesis/0206177260.html

　　---------------------------------------------------------------------------------------------------

　　10.[学位论文]Becoming human: The signifying elements of 'orga' vs. 'mecha' in John Williams' score to "A.I.: Artificial Intelligence" (2001).

　　标题翻译:成为人类：约翰·威廉姆斯（John Williams）在“人工智能：人工智能”（A.I.：Artificial Intelligence）（2001年）中得分的“ orga”和“ mecha”的标志性元素。

　　著录项

　　学科：Music.;Film studies.

　　年度：2017

　　链接：https://www.zhangqiaokeyan.com/academic-degree-foreign_mphd_thesis/02061582577.html