Výsledky vyhledávání - "生成式人工智能"
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Témata: Service-dominante Logik, actor-network theory, synthetischer Tourismus, responsible innovation, Recherche responsable, service-dominant logic, Lógica dominante del servicio, inovação responsável, सेवा-प्रधान तर्क, अनुभव सह-सृजन, Ko-Kreation von Erlebnissen, teoria dell'attore-rete, co-création d'expérience, algorithmic governance, turismo sintético, generative Künstliche Intelligenz, Innovación responsable, ко‑креация опыта / совместное создание опыта, synthetic tourism, Governança algorítmica, Teoria Ator‑Rede, logique dominante du service, governance algoritmica, 负责任研究, inteligência artificial generativa, 合成旅游, 生成式人工智能, co-creazione dell'esperienza, lógica dominante de serviço, Co-creación de experiencias, théorie de l'acteur-réseau, verantwortungsvolle Forschung, एल्गोरिदमिक शासन, логика сервисной доминанты (Service‑Dominant Logic), алгоритмическое управление, experience co-creation, उत्तरदायी अनुसंधान, Akteur-Netzwerk-Theorie, [SHS.GESTION] Humanities and Social Sciences/Business administration, ответственные инновации, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], ответственные исследования, algorithmische Governance, logica dominante del servizio, 体验共创, синтетический туризм, Teoría del actor-red, 负责任创新, अभिनेता–नेटवर्क सिद्धांत, cocriação de experiências, tourisme synthétique, 行动者网络理论, Investigación responsable, innovazione responsabile, कृत्रिम पर्यटन, генеративный искусственный интеллект, 服务主导逻辑, Generative artificial intelligence, ricerca responsabile, उत्तरदायी नवाचार, акторно‑сетевая теория, intelligence artificielle générative, verantwortungsvolle Innovation, turismo sintetico, जनरेटिव कृत्रिम बुद्धिमत्ता, Inteligencia artificial generativa, responsible research, Gobernanza algorítmica, Innovation responsable, 算法治理, Gouvernance algorithmique, intelligenza artificiale generativa, pesquisa responsável, Turismo sintético
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Přístupová URL adresa: https://hal.science/hal-05191936v1
https://hal.science/hal-05191936v1/document -
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Autoři: 施敏, 杨海军
Zdroj: 大数据, Vol 10, Iss 5, Pp 168-176 (2024)
Témata: 大语言模型, 生成式人工智能, 数据隐私, 知情同意, 数据责任, Electronic computers. Computer science, QA75.5-76.95
Popis souboru: electronic resource
Relation: http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2024033&lang=zh; https://doaj.org/toc/2096-0271
Přístupová URL adresa: https://doaj.org/article/b6a204038711475780cace2f9688271a
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Zdroj: 大数据, Vol 10, Iss 5, Pp 168-176 (2024)
Témata: 知情同意, 大语言模型, Electronic computers. Computer science, 生成式人工智能, 数据责任, QA75.5-76.95, 数据隐私
Přístupová URL adresa: https://doaj.org/article/b6a204038711475780cace2f9688271a
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Autoři: 王飞跃
Zdroj: 智能科学与技术学报, Vol 5, Iss 4, Pp 431-435 (2023)
Témata: alphago, chatgpt, 生成式人工智能, 人工智能, 平行智能, 平行警察, 平行警务, 平行安全, 数字人警察, Electronic computers. Computer science, QA75.5-76.95
Popis souboru: electronic resource
Relation: https://www.infocomm-journal.com/znkx/CN/10.11959/j.issn.2096-6652.202347; https://doaj.org/toc/2096-6652
Přístupová URL adresa: https://doaj.org/article/b9d97db5e7334e6199c36da168feed7b
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Autoři: 王皓, 潘昱杉, 潘毅
Zdroj: 大数据, Vol 9, Iss 3, Pp 85-96 (2023)
Popis souboru: electronic resource
Relation: https://www.infocomm-journal.com/bdr/CN/10.11959/j.issn.2096-0271.2023033; https://doaj.org/toc/2096-0271
Přístupová URL adresa: https://doaj.org/article/dcccec0a15f9483da36df413e8bd7d5a
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Zdroj: RELIEVE - Revista Electrónica de Investigación y Evaluación Educativa; مجلد 29 عدد 2 (2023): Academic integrity in the era of generative artificial intelligence (GAI) ; RELIEVE – Electronic Journal of Educational Research and Evaluation; Vol. 29 No. 2 (2023): Academic integrity in the era of generative artificial intelligence (GAI) ; RELIEVE - Revista Electrónica de Investigación y Evaluación Educativa; Vol. 29 Núm. 2 (2023): Integridad Académica en la Era de la Inteligencia Artificial Generativa ; RELIEVE - Revista Electrónica de Investigación y Evaluación Educativa; 卷 29 编号 2 (2023): Academic integrity in the era of generative artificial intelligence (GAI) ....
Témata: ética, integridad académica, Inteligencia Artificial Generativa (IAG), Educación Superior, ethics, academic integrity, Generative Artificial Intelligence (GAI), higher education, integridade académica, Inteligência Artificial Generativa (IAG), Ensino Superior, 道德, 学术诚信, 生成式人工智能, 高等教育, الأخلاق, النزاهة الأكاديمية, الذكاء الاصطناعي التوليدي،, التعليم العالي
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Relation: https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29134/26516; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29134/26517; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29134/26940; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29134/26942; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29134/27160; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29134/26941; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29134
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Zdroj: RELIEVE - Revista Electrónica de Investigación y Evaluación Educativa; مجلد 29 عدد 2 (2023): Academic integrity in the era of generative artificial intelligence (GAI) ; RELIEVE – Electronic Journal of Educational Research and Evaluation; Vol. 29 No. 2 (2023): Academic integrity in the era of generative artificial intelligence (GAI) ; RELIEVE - Revista Electrónica de Investigación y Evaluación Educativa; Vol. 29 Núm. 2 (2023): Integridad Académica en la Era de la Inteligencia Artificial Generativa ; RELIEVE - Revista Electrónica de Investigación y Evaluación Educativa; 卷 29 编号 2 (2023): Academic integrity in the era of generative artificial intelligence (GAI) ....
Témata: Artificial Intelligence, Generative Artificial Intelligence (GenAI), Large Language Models, Academic Integrity, Scholarship of Teaching and Learning, Systems Approach, Inteligencia Artificial, Inteligencia Artificial Generativa, Modelos de Lenguaje Avanzados, Integridad Académica, Enfoque de Sistemas, Inteligência Artificial, Inteligência Artificial Generativa (GenAI), Modelos Linguísticos de Grande Dimensão, Integridade Académica, Bolsa de Estudo de Ensino e Aprendizagem, Abordagem de Sistemas, 人工智能, 生成式人工智能（GenAI）, 大语言模型, 学术诚信, 教与学的学术研究, 系统方法, الذكاء الاصطناعي, الذكاء الاصطناعي التوليدي (GenAI), النماذج اللغوية الكبيرة, النزاهة الأكاديمية، منحة التدريس والتعلم, منهج النظم
Popis souboru: application/pdf; text/html; text/xml; application/zip
Relation: https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29295/26519; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29295/26520; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29295/26927; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29295/26928; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29295/26930; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29295/26929; https://revistaseug.ugr.es/index.php/RELIEVE/article/view/29295
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Témata: 永續發展目標, 生成式人工智能, 教學內容客製化, 跨學科學習, Sustainable development goals, SDGs, Generative artificial intelligence, GAI, Customized teaching materials, Interdisciplinary learning
Popis souboru: 110 bytes; text/html
Relation: 教育研究月刊, No.365, pp.18-33; https://nccur.lib.nccu.edu.tw//handle/140.119/155609; https://nccur.lib.nccu.edu.tw/bitstream/140.119/155609/1/index.html
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Autoři: a další
Relation: 自动化学报; http://ir.ia.ac.cn/handle/173211/56114
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Autoři: a další
Přispěvatelé: a další
Témata: Traducción jurídica, Traducción automática, Inteligencia artificial generativa, MQM, DeepL, ChatGPT, 法律翻译, 机器翻译, 生成式人工智能
Popis souboru: application/pdf
Relation: Wen, Shuangshuang. Calidad de la Traducción de Textos Jurídicos: Comparación entre ChatGPT y DeepL basada en la Evaluación mediante MQM, Trabajo Fin de Máster, Universidad de Alcalá, 2024; http://hdl.handle.net/10017/65075
Dostupnost: http://hdl.handle.net/10017/65075
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Přispěvatelé: a další
Témata: 內部內容創作者, 生成式人工智能的影響, 美國, 職位廣告分析, 職業發展, In-house content creator, Impact of Generative AIs, United States, Job ads analysis, career development
Popis souboru: 4568272 bytes; application/pdf
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What are the most common marketing job titles?. https://www.aha.io/roadmapping/guide/marketing/marketing-job-titles Ahadi, A., Kitto, K., Rizoiu, M. A. & Musial, K. (2022). Skills Taught vs Skills Sought: Using Skills Analytics to Identify the Gaps between Curriculum and Job Markets. Proceedings of the 15th International Conference on Educational Data Mining, 538–542. https://doi.org/10.5281/zenodo.6853121 Allthingai. (2023). A Curated Directory of AI Tools. https://allthingsai.com/. Anders, G. (2022, July 21). ‘Making it go viral’ is now a career, as creator jobs boom in these 10 fields. LinkedIn Workforce Insights. https://www.linkedin.com/pulse/making-go-viral-now-career-creator-jobs-boom-10-fields-george-anders/. Antler. (2023). List of Generative Artificial Intelligence tools and platforms. https://airtable.com/shrBeWpMlxf3e14E8/tblS4TkbJbm0cqT0o. Arntz, M., Gregory, T. & Zierahn, U. (2016). The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis. OECD. https://www.oecd-ilibrary.org/docserver/ 5jlz9h56dvq7-en.pdf?expires=1689987452&id=id&accname= guest&checksum= C24D72DA03B0C3F4D6ABE1B4A0F8C48A Base10. (2023). Generative AI. https://base10.vc/research/generative-ai. Baidoo-Anu, D. & Ansah, L. O. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. SSRN. http://dx.doi.org/10.2139/ssrn.4337484 BCG. (2023). The CEO’s Roadmap on Generative AI. https://media-publications.bcg.com/BCG-Executive-Perspectives-CEOs-Roadmap-on-Generative-AI.pdf Becker, T. (2021, September 13). The Evolution of Digital Content Creation: Then and Now. Nexa. https://blog.digitalnexa.com/the-evolution-of-digital-content-creation-then-and-now. Beheshti, A., Yang, J., Sheng, Q. Z., Benatallah, B., Casati, F., Dustdar, S., Reza, H., Nezhad, M., Zhang, X. & Xue, S. (2023). ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. 2023 IEEE International Conference on Web Services (ICWS). https://doi.org/10.48550/arXiv.2306.01771 Berg, J. & Gmyrek, P. (2023). Automation hits the knowledge worker: ChatGPT and the future of work. SSRN. https://ssrn.com/abstract=4458221. Bernhard, J. & Russman, U. (2023). Digitalization in public relations—Changing competences: A longitudinal analysis of skills required in PR job ads. Public Relations Review, Vol. 49(1), 1-12. https://doi.org/10.1016/j.pubrev.2022.102283. Bhargava, D. & Theunissen, P. (2019). The future of PR is ‘fantastic’, ‘friendly’ and ‘funny’: Occupational stereotypes and symbolic capital in entry-level job advertisements. Public Relations Review, Vol. 45(4), 1-12. https://doi.org/10.1016/j.pubrev.2019.101822. Bilan, M. (2023). Statistics of ChatGPT & Generative AI in business: 2023 Report. Master of Code. https://masterofcode.com/blog/statistics-of-chatgpt-generative-ai-in-business-2023-report. Bilgram, V. & Laarmann, F. (2023). Accelerating Innovation With Generative AI: AI-Augmented Digital Prototyping and Innovation Methods. IEEE Engineering Management Review, vol. 51, no. 2, 18-25. doi:10.1109/EMR.2023.3272799. Bissessur, J., Arabikhan, F. & Bednar, P. (2019). The Illusion of Routine as an Indicator for Job Automation with Artificial Intelligence. Exploring Digital Ecosystems, Lecture Notes in Information Systems and Organisation, vol. 33. Springer, Cham. https://doi.org/10.1007/978-3-030-23665-6_29 Bouton, K. (2015, July 17). Recruiting for Cultural Fit. Harvard Business Review. https://hbr.org/2015/07/recruiting-for-cultural-fit Brumberger, E. & Lauer, C. (2015). The Evolution of Technical Communication: An Analysis of Industry Job Postings, Technical Communication, Vol. 62(4), 224-243. https://www.ingentaconnect.com/content/stc/tc/2015/00000062/00000004/art00002# Brynjolfsson, E., Li, D. & Raymond, L. (2023). Generative AI at Work. National Bureau Of Economic Research. DOI 10.3386/w31161 Bullock, L. (2022, May 3). The 9 most important content marketing skills and tools you need to focus on in 2022. Smart Insights. https://www.smartinsights.com/content-management/content-marketing-strategy/the-9-most-important-content-marketing-skills-you-need-to-focus-on/ Brinker, S. (2023). 2023 Marketing Technology LandscapeSupergraphic: 11,038 solutions searchable on martechmap.com. Chiefmartec. https://chiefmartec.com/2023/05/2023-marketing-technology-landscape-supergraphic-11038-solutions-searchable-on-martechmap-com/ Cao, Y., Liu, Y., Yan, Z., Dai, Y., Yu, P. S., & Sun, L. (2023). A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. J. ACM 37, 4, Article 111. https://doi.org/10.48550/arXiv.2303.04226. Carnevale, A. P., Jayasundera, T. & Repnikov, D. (2014). Understanding online Job ads data: A Technical Report. Georgetown University. https://cew.georgetown.edu/wp-content/uploads/2014/11/OCLM.Tech_.Web_.pdf Cedefop. (2023). Skills in online job advertisements. https://www.cedefop.europa.eu/en/tools/skills-intelligence/skills-online-job-advertisements?country=EU27_2020&year=2021#9 Chandra, R. (2023, June 9). The Power of ChatGPT Code Interpreter: Creating Data Visualizations Without Writing a Single Line of Code. Kanaries. https://docs.kanaries.net/en/articles/chatgpt-code-interpreter Chen, L., Chen, X., Wu, S., Yang, Y., Chang, M. & Zhu, H. (2023). The Future of ChatGPT-enabled Labor Market:A Preliminary Study. ArXiv. https://doi.org/10.48550/arXiv.2304.09823. Cheng, M. (2023, October 11). How countries around the world are trying to regulate AI. Quartz. https://qz.com/how-countries-regulate-artificial-intelligence-1850916279. Chui, M., Roberts, R. & Yee, L. (2022, December 20). Generative AI is here: How tools like ChatGPT could change your business. Quantum Black AI by McKinsey. https://www.mckinsey.com/capabilities/quantumblack/our-insights/generative-ai-is-here-how-tools-like-chatgpt-could-change-your-business. Chui, M., Roberts, R., Rodchenko, T., Yee, L., Singla, A., Sukharevsky, A. & Zurkiya, D. (2023a, May 12). What every CEO should know about generative AI. McKinsey. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/what-every-ceo-should-know-about-generative-ai. Chui, M., Hazan, E., Roberts, R., Singla, A., Smaje, K., Sukharevsky, A., Yee, L. & Zemmel, R. (2023b). The economic potential of generative AI: The next productivity frontier. McKinsey. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier#/. Coursera. (2023, August 22). What Is a Social Media Influencer? And How to Become One. https://www.coursera.org/articles/social-media-influencer. Datareportal. (2023). Digital around the world. https://datareportal.com/global-digital-overview. Davenport, T. H. & Mittal, N. (2022, November 14). How Generative AI Is Changing Creative Work. Harvard Business Review. https://hbr.org/2022/11/how-generative-ai-is-changing-creative-work. Davila, D. (2023). ChatGPT Marketing: Create Complete Campaigns w/ Chat GPT AI [Online Course]. Udemy. https://www.udemy.com/course/chatgpt-marketing/ Dawson, N., Molitorisz, S., Rizoiu, M. A. & Fray, P. (2021). Layoffs, inequity and COVID-19: A longitudinal study of the journalism jobs crisis in Australia from 2012 to 2020. Journalism, Vol. 0, 1-29. https://doi.org/10.1177/1464884921996286. Deshpande, S. (2022, September 5). What Is a Content Creator? Here’s How You Can Become One. MUO. https://www.makeuseof.com/what-is-content-creator-how-to-become/. Dickson, B. (2022, November 11). How 2022 became the year of generative AI. VentureBeat. https://venturebeat.com/ai/how-2022-became-the-year-of-generative-ai/. Dietrich, G. (2023, January 10). A 2023 PESO Model™ Primer for Communicators. Spinsucks. https://spinsucks.com/communication/pr-pros-must-embrace-the-peso-model/ Durth, S., Hancook, B., Maor, D. & Sukharevsky, A. (2023, September 19). The organization of the future: Enabled by gen AI, driven by people. McKinsey. https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/the-organization-of-the-future-enabled-by-gen-ai-driven-by-people. Eapen, T. T., Finkenstadt, D. J., Folk, J. & Venkataswamy, L. (2023). How Generative AI Can Augment Human Creativity. Harvard Business Review July-August 2023. https://hbr.org/2023/07/how-generative-ai-can-augment-human-creativity. EIU. (2023, July 21). How governments are looking to regulate AI. https://www.eiu.com/n/how-governments-are-looking-to-regulate-ai/. Eloundou, T., Manning, S., Mishkin, P. & Rock, D. (2023). GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. ArXiv. https://doi.org/10.48550/arXiv.2303.10130. Evans, H. (2017, January 30). “Content is King” — Essay by Bill Gates 1996. Medium. https://medium.com/@HeathEvans/content-is-king-essay-by-bill-gates-1996-df74552f80d9. Fawzi, A., Balog, M. Romera-Paredes, B., Hassabis, D. & Kohli, P. (2022, October 5). Discovering novel algorithms with AlphaTensor. Google Deepmind. https://www.deepmind.com/blog/discovering-novel-algorithms-with-alphatensor Fischer, N. A., Moeller, E. V., McNerney, J., Trozzo, A., Farmer, S., Sheng, J. J., Ko, J., Liu, J. Y., Xu, C., Ji, F. & Cai, W. (2023, August 11). Unleashing the AI Imagination: A Global Overview of Generative AI Regulations. Pillsbury. https://www.pillsburylaw.com/en/news-and-insights/ai-regulations-us-eu-uk-china.html. Framzen, C. (2023, July 7). Code Interpreter comes to all ChatGPT Plus users — ‘anyone can be a data analyst now’. VentureBeat. https://venturebeat.com/ai/code-interpreter-comes-to-all-chatgpt-plus-users-anyone-can-be-a-data-analyst-now/ Future Marketing Insights (2022). Digital content creator market 2022 – 2032. https://www.futuremarketinsights.com/reports/digital-content-creator-market. Futurepedia. (2023). Futurepedia the largest AI tools directory. https://www.futurepedia.io/. Gardiner, A., Aasheim, C., Rutner, P. & Williams, S. (2017). Skill Requirements in Big Data: A Content Analysis of Job Advertisements. Journal of Computer Information Systems, Vol. 58 (4), 374–384. https://doi.org/10.1080/08874417.2017.1289354 Gartner. (2021, October 18). 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