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Relevant bibliographies by topics / AI-generated creations

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Academic literature on the topic 'AI-generated creations'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "AI-generated creations"

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Praja, Chrisna Bagus Edhita, Hary Abdul Hakim, Basri, Yulia Kurniaty, and Elvira Purnama Sari. "Legal Analysis of AI-Generated Creations: Copyright Law Perspectives." E3S Web of Conferences 622 (2025): 03005. https://doi.org/10.1051/e3sconf/202562203005.

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The development of Artificial Intelligence (AI) in digital transformation has a significant impact on people's lives. AI is able to solve complex problems with high accuracy to produce a creation. This raises problems and negative impacts related to copyright. The absence of explicit rules governing the creation of AI leads to legal uncertainty. The 2014 copyright law does not fully cover AI-generated works. Legal analysis shows that AI is just a computer programming tool that performs tasks based on human commands. AI uses algorithms and computer training for recognition, prediction, and deci

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Shen, Jialing. "The Nature and Copyright Ownership of Artificial Intelligence Creations." Journal of Economics and Law 1, no. 2 (2024): 168–74. http://dx.doi.org/10.62517/jel.202414224.

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With the vigorous development of artificial intelligence technology in our country, AI-generated works have brought tremendous convenience to our daily work. However, while developing and using AI-generated works, disputes have arisen in the academic and judicial fields regarding whether AI-generated works have copyright and how to legally protect them. Currently, the legal issues related to AI-generated works in our country mainly include the recognition of the work attributes of AI-generated works and the attribution of copyright ownership. In response, the author first analyzes the current

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Subagiyo, Dwi Tatak, and Hari Wibisono. "THE URGENCY OF ARTIFICIAL INTELLIGENCE REGULATION FROM A JOINT AUTHORSHIP PERSPECTIVE ON COPYRIGHT INFRINGEMENT." Indonesia Private Law Review 5, no. 2 (2025): 135–56. https://doi.org/10.25041/iplr.v5i2.3962.

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This research, titled Urgency of Artificial Intelligence Regulation from the Perspective of Joint Authorship Against Copyright Infringement, aims to analyze the legal framework governing Artificial Intelligence (AI)-based creations in Indonesia and explore the application of the Joint Authorship perspective to AI-generated works. Using a normative legal methodology, the research focuses on library research involving laws, regulations, and related literature. The findings reveal that Indonesia's Copyright Law No. 28 of 2014 does not adequately address AI-based creations. Specifically, Articles

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Aamir Mushtaq, Shahzada, Khurram Baig, Syed Wajdan Rafay Bukhari, and Waqas Ahmad. "Does Pakistan's Copyright and Antitrust Law Protect Creators of AI-Generated Content? A Comparative Study with European Union Jurisdictions." Pakistan Journal of Criminal Justice 4, no. 1 (2024): 55–76. http://dx.doi.org/10.62585/pjcj.v4i1.51.

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With the rise of artificial intelligence (AI), how should copyright and antitrust law handle AI-created creative work? The Copyright Ordinance 1962 and Competition Act 2010 are examined in this context to examine Pakistan's legal system. This study compares Pakistan's legal system to the EU's. The study focuses on the DMA and the EU Copyright Directive (2019/790). These two laws measure Pakistan's legal strength. Compare and contrast the legal systems of Pakistan with those of the European Union to find weaknesses and opportunities for progress in Pakistan's legal structure. This study may ass

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Ye, Chenyu. "Copyright Regulation of Artificial Intelligence Generated Graphs." Highlights in Business, Economics and Management 39 (August 8, 2024): 375–80. http://dx.doi.org/10.54097/8nemsv41.

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With the profound advancement of AI algorithmic models, AI generators have progressively found applications across diverse industries. Nevertheless, this development has presented new challenges to legislation and judicial determinations concerning copyright and related matters. There remains no definitive conclusion on whether AI-generated works can be considered original or fall within the scope of copyright law, nor whether they are eligible for copyright protection. However, a thorough analysis of current domestic and international legislation and judicial precedents suggests that copyrigh

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Park, Chanhyeok, and WooJung Jon. "A Study on the Protection of AI-Generated Works : Focusing on the Degree of Human Involvement." Korea Copyright Commission 148 (December 31, 2024): 115–63. https://doi.org/10.30582/kdps.2024.37.4.115.

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Artificial intelligence (AI) technology is advancing daily and is increasingly permeating our everyday lives. The field of art is no exception; generative AI can produce astonishingly sophisticated creations in a short time. However, the lack of explicit regulations regarding the protection of AI-generated works amplifies uncertainty about their legal safeguarding. To fully enjoy the benefits brought by rapidly developing AI technologies while minimizing their side effects, it is necessary to balance legal policies appropriately. In the current landscape where AI’s performance and functionalit

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AnnisaPutri, Tasya Raehan, Hari Sutra Disemadi, and Rufinus Hotmaulana Hutauruk. "The Ethical Challenges in Copyright AI Creativity." Jurnal Media Hukum 13, no. 1 (2025): 1–15. https://doi.org/10.59414/jmh.v13i1.756.

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n this era of rapid technological advancement, marked by the emergence of Artificial Intelligence (AI), the legal status surrounding AI-generated works sparks considerable debate. The question arises: do these creations warrant legal protection? This study employs a normative legal research method, drawing upon statutory regulations. Findings indicate that AI cannot be deemed a legal subject with rights and obligations, as it is a product of human-made technology. Consequently, AI-generated works do not meet the criteria for copyright protection, namely fixation, originality, and minimal creat

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Vishal Gawali, Chaturdhan Chaubey, Mahesh Gaikwad, Akash Gidde, and Nilesh Bhelkar. "Study on AI Generated Fake-Media Detection." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 10 (2024): 3181–85. http://dx.doi.org/10.47392/irjaem.2024.0470.

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The rapid growth of AI-generated images, especially with techniques such as Generative Adversarial Networks (GANs), has complicated the ability to tell apart genuine content from artificial creations. This issue is vital for preserving the authenticity of visual media, where conventional detection methods often struggle. Current detection approaches concentrate on machine learning and deep learning techniques, including neural networks (CNNs). These methods aim to reveal subtle flaws and irregularities in images, like inconsistencies in pixel distribution and lighting, which serve as critical

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Szczotka, Jerzy. "Artificial Intelligence vs Copyright Law – a Question about the Result of a Clash between Them. Is it Mere Futurology or the Imminent Future?" Studia Iuridica Lublinensia 33, no. 1 (2024): 323–42. http://dx.doi.org/10.17951/sil.2024.33.1.323-342.

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This research paper concerns the copyright-law consequences of generating literary and artistic creations resulting from the “creative activity” of artificial intelligence (AI). The essence of the problem that rapidly gains practical significance boils down to the question whether, at present (de lege lata) and in the future (de lege ferenda), such creations can be protected under copyright law and who should possibly be considered to be the author. The legal-dogmatic analysis of the normative matter, the current state of science and the case law in force applicable here, shows that under the

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Olubiyi, Ifeoluwa A., and Oshobugie Suleiman Irumekhai. "AI AUTHORSHIP/INVENTORSHIP THROUGH THE LENS OF THEORETICAL JUSTIFICATIONS OF INTELLECTUAL PROPERTY RIGHTS." ABUAD Law Journal 12, no. 1 (2024): 119–34. http://dx.doi.org/10.53982/alj.2024.1201.07-j.

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The role of intellectual property (IP) law in incentivising innovation through the protection of the creations and inventions of the human intellect cannot be overemphasized. Artificial intelligence (AI), as an emerging technology, has had a significant impact on practically all sectors of society, including the field of intellectual property law. Its impact is felt in various fields of intellectual property law, such as patents, copyrights, trademarks, designs, and image rights, among others. AI is increasingly testing the limits and provisions of national and international intellectual prope

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Books on the topic "AI-generated creations"

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Ramalho, Ana. Intellectual Property Protection for AI-Generated Creations Europe, United States, Australia and Japan. Taylor & Francis Group, 2021.

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Ramalho, Ana. Intellectual Property Protection for AI-Generated Creations Europe, United States, Australia and Japan. Routledge, 2021.

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Ramalho, Ana. Intellectual Property Protection for AI-Generated Creations Europe, United States, Australia and Japan. Taylor & Francis Group, 2021.

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Ramalho, Ana. Intellectual Property Protection for Ai-Generated Creations Europe United States Australia and Japan. Taylor & Francis Group, 2021.

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Ramalho, Ana. Intellectual Property Protection for AI-Generated Creations Europe, United States, Australia and Japan. Taylor & Francis Group, 2021.

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Janečková, Eva. Copyright and Patent Laws for the Age of Artificial Intelligence. Hart Publishing, 2025. https://doi.org/10.5040/9781509976263.

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This book responds to the need to distinguish human creations from those produced by AI. It does so by tracing human attributes of authorship and inventorship in statutory requirements for protection and ownership in European copyright and patent laws. Its main contribution lies in exposing shortcomings in how the laws are applied in the UK, Germany, and France. It shows that the human origin of creations is traditionally inferred from their expressive form or technical character. Given the advancements in AI, such inferences are no longer legitimate. What is more, these shortcomings may event

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Nisar, Tahir M. Personalization and Digital Social Markets. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781350444447.

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Tahir Nisar presents a cogent, compelling account of recent developments and disruptions within the digital economy, and particularly within the industrial and service sectors.Through an original, overarching framework rooted in the concept of personalization and its antecedents, Nisar identifies radically new forms of relationships, both economic and social, among firms and customers. These new relationships are driving major changes in commercial and industrial firms’ policies and practices, and in turn, in the entire market economy. E-commerce trading, user-generated content, virtual commun

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Book chapters on the topic "AI-generated creations"

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Ramalho, Ana. "AI and copyright protection." In Intellectual Property Protection for AI-generated Creations. Routledge, 2021. http://dx.doi.org/10.4324/9780367823290-2.

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Ramalho, Ana. "AI and patent protection." In Intellectual Property Protection for AI-generated Creations. Routledge, 2021. http://dx.doi.org/10.4324/9780367823290-3.

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Ramalho, Ana. "Introduction." In Intellectual Property Protection for AI-generated Creations. Routledge, 2021. http://dx.doi.org/10.4324/9780367823290-1.

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Ramalho, Ana. "Conclusion and future outlook." In Intellectual Property Protection for AI-generated Creations. Routledge, 2021. http://dx.doi.org/10.4324/9780367823290-4.

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Mešević, Iza Razija. "Reevaluating Main Concepts of Intellectual Property in the Light of AI-Challenges." In European Union and its Neighbours in a Globalized World. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40801-4_14.

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AbstractThis paper examines the impact of Artificial Intelligence (AI) systems on some of the main principles of Intellectual Property, specifically those inherent to copyright and patent law. Particular attention is dedicated to the concept of authorship in relation to AI-assisted and AI-generated creations in the field of art. The chapter also examines the potential need, or a lack thereof, to re-evaluate the anthropocentric foundations of copyright embedded in the acquis communautaire, copyright laws of the Member States and the case law of CJEU. Taking into consideration the AI’s inability

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Ching, Vivian, and Dinesh Mothi. "Legal and Regulatory Frameworks for AI-Generated Creative Works." In AI for Creatives. Auerbach Publications, 2025. https://doi.org/10.1201/9781003533016-7.

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Teodorescu, Marius A. "Unit 3 Overview: Neuroaesthetics Approaches to the Visual Arts—Creation." In Neuroaesthetics. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-42323-9_8.

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AbstractThe unit overview is focused on the creation of art and aesthetic objects. Given the fact that the line between art and non-art has become thinner and thinner during the last decades, we pursue the creation of a varied number of visual media, ranging from classical portraits to selfie and selfie-editing behaviours. Also, we bring into view authorship issues, arising both from classical art philosophy and contemporary situations, such as AI-generated art. The function and meaning of portraits across the ages is a key part of the discussion in this chapter, treating art as utilitarian an

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Carré, Marion. "Post-Truth." In Edition Museum. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839467107-017.

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In this paper Marion Carré explores the intricate relationships between art, AI, archives, and truth through delving into the creation and detection of fake news and forgeries. By me ans of AI-generated texts, the study examines the living nature of archives and the impact of crowdsourcing on truth perception. AI's dual role in facilitating forgery and aiding detection is explored, thus emphasizing the importance of critical thin king and education as safeguards against deception. Museum professionals play a crucial role in raising awareness about the challenges posed by digital manipulation.

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Zillner, Sonja, Jon Ander Gomez, Ana García Robles, et al. "Data Economy 2.0: From Big Data Value to AI Value and a European Data Space." In The Elements of Big Data Value. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68176-0_16.

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AbstractArtificial intelligence (AI) has a tremendous potential to benefit European citizens, economy, environment and society and already demonstrated its potential to generate value in various applications and domains. From a data economy point of view, AI means algorithm-based and data-driven systems that enable machines with digital capabilities such as perception, reasoning, learning and even autonomous decision making to support people in real scenarios. Data ecosystems are an important driver for AI opportunities as they benefit from the significant growth of data volume and the rates a

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Karagiannis, Panagiotis, Panagiotis Angelakis, and Sotiris Makris. "On an AI-Based System Architecture to Generate Robotic Cells in VR Environments." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86489-6_21.

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Abstract This paper focuses on the design and implementation of an AI-based architecture diagram. Each module of this diagram contributes to the generation and programming of different components, namely robot, fixtures, grippers, fences etc. that are necessary to create a robotic cell in virtual environments. Additionally, the application includes modules that perform self-correcting suggestions, checking for any anomalies, such as overlapping parts, in the generated scene, providing corrective feedback to the user. The aim of the architecture is to help with the creation of an AI-based appli

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Conference papers on the topic "AI-generated creations"

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Xie, Yejuan, Yunzhe Wang, Yushi Li, Rongrong Chen, Peiyu Hu, and Chengtao Ji. "Create3DHistory: Creating and Customizing Historical Timelines with AI-Generated Content." In 2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2025. https://doi.org/10.1109/cscwd64889.2025.11033575.

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Lakshmanan, V., D. Ferri, R. Agarwal, et al. "Evaluating the Importance of Demographic and Technical Factors in Creating Authentic-Sounding AI-Generated Human Voice Clones." In 2025 Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2025. https://doi.org/10.1109/sieds65500.2025.11021162.

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Candrea, Adina Nicoleta, Ioana Simona Ivasciuc, and Ana Ispas. "ChatGPT TECHNOLOGY AS A STRATEGIC TOOL IN ECOTOURISM DESTINATION MARKETING: A ROMANIAN CASE STUDY." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s16/91.

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In the era of digital communication, the utilization of technology in tourism marketing strategies has gained paramount importance. As digital technologies continue to evolve, their impact on marketing strategies across various sectors has become increasingly significant. The practical potential of AI-generated content may be considered by destination marketing practitioners to create personalized, effective campaigns that resonate with diverse audiences, enhancing their connection with travelers. Therefore, this paper specifically examines how advanced artificial intelligence, such as OpenAI�

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Elgelid, Staffan. "DO STUDENTS NOTICE DIFFERENCES BETWEEN AI GENERATED PRESENTATIONS AND "TRADITIONAL" CREATIONS, AND WHAT ARE THE ISSUES WITH AI PRESENTATIONS?" In 16th International Conference on Education and New Learning Technologies. IATED, 2024. http://dx.doi.org/10.21125/edulearn.2024.2021.

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Ivanović, Svjetlana. "Vještačka inteligencija i pravna zaštita dizajna." In Veštačka inteligencija: izazovi u poslovnom pravu. Univerzitet u Beogradu – Pravni fakultet, 2024. http://dx.doi.org/10.51204/internet_dijalog_2406a.

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The paper deals wiht legal consequences of the application of artificial intelligence in the process of creating a design. Artificial intelligence is used in all segments of life and opens up new opportunities in different areas of creativity. Design means the appearance of the whole or a part of a product and it can be created with the help of artificial intelligence or by artificial intelligence, so we have AI-assisted designs and AI-generated designs. If the design is completely generated by an artificial intelligence system, if there is no input from the designer, such a design cannot be p

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Ho, Amic. "Digital Personas: Exploring the Impact of AI Influencers on Social Engagement and Brand Authenticity." In Human Interaction and Emerging Technologies (IHIET 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006753.

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The rise of AI influencers has significantly influenced visual communication, necessitating a comprehensive understanding of emotional elements and essential principles of data visualisation for proper interpretation. This research examines the challenges AI-generated images have in effectively condensing complicated information while maintaining aesthetic appeal and clarity. A unique research employing a mixed-methods methodology subjected volunteers to various urban landscapes in virtual reality to analyse their physiological reactions (heartbeat, electrodermal activity) and subjective emoti

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Singhal, Shreya, and Viraj Kumar. "Creating Thorough Tests for AI-Generated Code is Hard." In COMPUTE '23: 16th Annual ACM India Compute Conference. ACM, 2023. http://dx.doi.org/10.1145/3627217.3627238.

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Kongdee, Nop, and Maeva Israel. "The Creation of Digital image in Thai Cultural using AI generated." In 2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON). IEEE, 2023. http://dx.doi.org/10.1109/ectidamtncon57770.2023.10139768.

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Man Tin, Lai. "Interpolation and Depth Extraction: A Case Study of Shan Shui Artwork Generated by AI." In 12th International Conference on Human Interaction and Emerging Technologies (IHIET 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005504.

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Traditional Shan Shui artworks (Chinese landscape paintings) have been static representations of the beauty and tranquillity of landscapes, and they have a long history and significance in Chinese art. The advancement of artificial intelligence (AI) technologies brings new possibilities to artwork creation and innovation to tradition. This study proposes using AI technologies, specifically artificial neural networks and computer vision, to learn from traditional paintings, generate new landscapes and extract depths in Shan Shui paintings. The research aims to go beyond using AI technology sole

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Geissler, Svenja. "AI-proof Active Assessment and Future Skills Training with NoCode-Edu Escape Rooms." In Eleventh International Conference on Higher Education Advances. Editorial Universitat Politècnica de València (edUPV), 2025. https://doi.org/10.4995/head25.2025.20028.

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This study explores the implementation of Educational Escape Rooms (EERs) as a robust assessment format in higher education, particularly in the context of artificial intelligence (AI). EERs, integrated within challenge-based learning frameworks, foster both subject-specific and transversal competencies. The study highlights the dual role of EERs in enhancing knowledge acquisition and future skills development, despite the presence of AI tools. Through practical engagement in creating EERs, students demonstrated significant improvements in subject-specific knowledge, critical thinking, and AI

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Reports on the topic "AI-generated creations"

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Gruber, Peter. Better and Faster Academic Writing with LaTeX and ChatGPT. Instats Inc., 2025. https://doi.org/10.61700/3m4v9tp7g36bg1633.

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This three-day seminar introduces technical and creative aspects of academic writing with LaTeX. Leveraging AI and LaTeX's clear structure, participants will develop an efficient publication workflow—from drafting and literature review to creating tables, figures, equations, revising, and presenting. Participants will learn to quickly produce high-quality academic documents, improve writing style, and avoid imprecise AI-generated jargon. Weekly meetings provide practical application and ongoing support.

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Paulus, Trena, and Jessica Lester. Creating Digital Workflows for Qualitative Research. Instats Inc., 2023. http://dx.doi.org/10.61700/ko4rndbb9xfb6469.

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This four-hour seminar provides the theoretical and methodological grounding needed to develop digital workflows for designing and carrying out qualitative research. The seminar illustrates how researchers can leverage digital tools – social media conversations, online interviews, AI for data transcription and analysis – in meaningful and reflexive ways. By the conclusion, participants will have generated their own digital qualitative research workflow to address their own research questions and study designs. Participants will be guided through a process of answering key questions to consider

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Paulus, Trena, and Jessica Lester. Creating Digital Workflows for Qualitative Research. Instats Inc., 2023. http://dx.doi.org/10.61700/ud03e3s468hlm469.

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This four-hour seminar provides the theoretical and methodological grounding needed to develop digital workflows for designing and carrying out qualitative research. The seminar illustrates how researchers can leverage digital tools – social media conversations, online interviews, AI for data transcription and analysis – in meaningful and reflexive ways. By the conclusion, participants will have generated their own digital qualitative research workflow to address their own research questions and study designs. Participants will be guided through a process of answering key questions to consider

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Doo, Johnny. Beyond Aviation: Embedded Gaming, Artificial Intelligence, Training, and Recruitment for the Advanced Air Mobility Industry. SAE International, 2024. https://doi.org/10.4271/epr2024028.

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<div class="section abstract"><div class="htmlview paragraph">Recent advancements in electric vertical take-off and landing (eVTOL) aircraft and the broader advanced air mobility (AAM) movement have generated significant interest within and beyond the traditional aviation industry. Many new applications have been identified and are under development, with considerable potential for market growth and exciting potential. However, talent resources are the most critical parameters to make or break the AAM vision, and significantly more talent is needed than the traditional aviation ind

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