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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 1 to 6 of 6 (0.013 seconds)Spelling suggestions: "subject:"4dart"" "subject:"artart""
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Från Ateljé till Algoritm : Upphovsrätt, äkthet och kreativitet i den AI-genererade bildens tid / From Studio to Algorithm : Copyright, Authenticity, and Creativity in the Era of AI-Generated ImagesBjörk, Elin Eira January 2023 (has links)
This essay delves into the world of AI-generated images and the tools that create them. These type of tools became widely available in 2022, allowing users to generate images based on instructions written in plain text. The objective of this essay is to explore the landscape of AI-generated images based on text instructions, specifically focusing on the perspectives of key stakeholders: the artist community, the AI companies who create the tools, and the individuals utilising them. The essay draws upon Walter Benjamin's thoughts on politics, mass production, and authenticity as articulated in the essay "The Work of Art in the Age of Mechanical Reproduction," published in 1935. The material has been analysed through a phenomenological lens, considering how AI-generated images are perceived and their relationship to representation. The text reflects on who benefits from AI tools and whether it happens at the expense of others. Consequently, the essay also examines power structures and the power distribution among users of AI tools, the AI companies developing these tools, and existing artists not utilising AI tools. The subject is complex, and the essay identifies concerns within the artist community regarding potentially being replaced by AI tools constructed using the work of human artists without their knowledge or consent. Simultaneously, the essay recognises that AI tools can offer individuals who would not typically engage in image creation a pathway to creative expression.
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The New Modern Art : Ethical considerations and new interpretations of artJärlsäter, Sophie January 2023 (has links)
The thesis examines the expanding relationship between Artificial Intelligence (AI) and art. Through research, interviews, and a survey, the study concludes that AI has a significant impact on art, both positively and negatively. The findings suggest that AI can serve as a helpful tool for artists in creating new artwork, but can also pose a threat due to less job opportunities. Additionally, the thesis addresses ethical concerns surrounding the use of AI in art, such as authorship and the lack of diversity in AI-generated art. The research suggests for visual artists to use AI as a tool to enhance their process and thrive where the AI lacks. AI art is not meant to replace visual artists, and the study is made to understand the connection between technology and art.
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The Emergence of the Type-Generated AI Art Community : A Netnographic and Content Analysis ApproachBuraga, Alexandra-Petronela January 2022 (has links)
Computational art is a creative field that refers to a futuristic idea of artificial intelligence. Contrary to the common belief that a machine cannot create art, technological advancements made the rise of a new form of art possible. Artificial intelligence programs can generate various art forms, such as poetry, music, visual art, design and architecture. The aim of this thesis is to analyse and understand how the emerging community around type-generated art perceives AI in the practice, as well as to assess the main themes of discussion among the community. The study focused on Midjourney (a type-based generative art system) ’s communities on both Facebook and Twitter, two online social media platforms. The methods of netnography and content analysis were applied as a means to study these communities. Netnography helped identify members’ behaviours inside the community as well as the mutual engagement among them. Several discussions were considered in this thesis, where content analysis helped in dividing and analysing the main recurrent categories. The theoretical framework of communities of practice and actor-network theory is applied in order to understand the findings in this research. Communities of practice refer to a group of people who engage in a practice of collective learning guided by the same interests. Whilst actor-network theory is used to attribute equally agency to humans and nonhumans. Several concepts (the myth of technology and technophobia) emerged throughout the analysis phase, which have been used to support the findings. This research applies the research paradigm of interpretivism, which lead to generalisations. The conclusions drawn from this study show that the community sees AI as a tool for collaboration and a means for supporting and augmenting the creative process of type-based generative art. Lastly, limitations and further research were discussed in this thesis.
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muGen : Generative AI as Machinic Exploration of Cultural Archives / muGen : Generativ AI som maskinell utforskning av kulturarkivYu, Yan January 2023 (has links)
In recent years, generative AI has quickly become a new creative and artistic tool that could challenge our understanding of the creative process and the role of the machine. Despite having exhibited visually promising results, images generated by AI tools present various challenges, most notably their tendency to display cultural, gender and racial biases. The objective of the project is to speculate on the concept and prototype of an alternative text-to-image generation system, designed to mitigate biases from linguistic and cultural differences, and facilitate diversity in machine creativity. muGen, the final design, is a fictional system that allows the user to generate images using data in different languages, while adding user controls such as time period to better associate user’s idea with the system. / Under de senaste åren har generativ AI snabbt blivit ett nytt kreativt och konstnärligt verktyg som kan utmana vår förståelse av den kreativa processen och maskinens roll. Trots att bilder som genererats av AI-verktyg har uppvisat visuellt lovande resultat finns det flera utmaningar, framför allt deras tendens att visa kulturella, köns- och rasmässiga partiskhet. Syftet med projektet är att spekulera kring konceptet och prototypen för ett alternativt text-till-bild-genereringssystem, utformat för att mildra partiskhet från språkliga och kulturella skillnader, och underlätta mångfald i maskinkreativitet. muGen, den slutliga designen, är ett fiktivt system som låter användaren generera bilder med hjälp av data på olika språk, samtidigt som det lägger till användarkontroller som tidsperiod för att bättre associera användarens idé med systemet.
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Graphic design, Already Intelligent? Current possibilities of generative AI applications in graphic design.Dehman, Hampus January 2023 (has links)
This paper analyzes the current possible implementations and limitations of generative AI applications such as Chat-GPT, DALL-E, and Midjourney. The applications were used in a specific scenario to gauge whether it was able to effectively handle a potential request from a client, the scenario was to create a visual identity for a shoe company called WalkWise. The creations are then analyzed using Gestalt theories of perception and the machine-learning mechanisms that run these applications. To understand just how graphic designers may introduce these tools into their process, a process chart describing a typical graphic design process for a project has been created using data gathered from 8 professionals in the field who were interviewed. Using a thematic analysis, common occurring themes/activities were found and visualized in a process chart. The process was later analyzed using theories in process value analysis. Using all this information a conclusion was made that AI-generated art has several limitations that inhibit it from completely replacing human designers. These included: not understanding/generating vector graphics, not understanding objects in 3D space from less natural angles, often generating visual clichés, some potential copyright issues, and not being able to generate words. The implementation was therefore limited to a visual brainstorming tool which could aid graphic designers in quickly visualizing an idea or visualizing several different versions of one idea without having to sketch these differences, thereby making the idea-generating parts of the process more efficient.
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AI learn, AI do : En konstvetenskaplig studie om AI-modellers materialbetingade förmågor, aktörskap och deltagande inom konstnärliga processer / AI learn, AI do : An art-historical study about the material-based abilities, agencies, and involvement in artistic processes of AI-modelsPersson, Cornelius January 2023 (has links)
This master’s thesis investigates generative AI-art through the lens of actor network theory. By focusing on the role of images in datasets as a material that effects both AI-models and artworks, the decisively non-human agencies generative AI-models can be said to possess, and the traces and associations that generative AI-models imbue artworks with, this thesis aims to investigate art that has been created with GAN-models as well as contemporary text-to-image diffusion-models, by way of similar premises. Forgoing common discussions and questions regarding the status of AI-art as art that inundate many a reasoning regarding this topic, this thesis instead investigates the use of generative AI to make images and art with an understanding of it as a multifaceted practice that can be observed and experienced in a variety of ways. General topics such as the way images are used to train AI-models, the blurry connections between trained images and generated images, the way AI-models can be used and interacted with by using prompts as well as different kinds of interfaces and AI-Image-generators, are investigated, followed by the analysis of a number of artworks for which generative AI has been used. Throughout this study generative AI-art emerges as a both novel and oftentimes contested artform that is defined by direct and indirect connection to other media, a varied understanding of what it is that the artificial intelligence appears to do, and a use of the AI-artwork as a means to comment the mediums emerging characteristics.
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