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1	muGen : Generative AI as Machinic Exploration of Cultural Archives / muGen : Generativ AI som maskinell utforskning av kulturarkiv Yu, 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. AI art creative AI speculative design text-to-image generation AI-konst kreativ AI spekulativ design text-till-bild-generering Computer and Information Sciences Data- och informationsvetenskap
2	Är framtiden här? : En undersökning kring AI-konstens relation till kreativitet / Is the future here? : An examination of AI art's relationship to creativity Jakobsson, Kenny January 2023 (has links) The purpose of the thesis is to investigate and draw attention to current discussions around the use of artificial intelligence to produce images, as well as to examine different ways to perceive the relationship between artificial intelligence and creativity. The thesis’ theoretical framework consists of an account on the historical understanding of the concepts regarding creativity and art, as well as the theories that have dominated the Western world in terms of understanding the internal processes of creativity and art. Six articles published by various newspapers regarding AI-generative art have been examined by use of a modified Toulmin method. The result shows that the authors behind the articles regard AI-generative art to be considered as art and the process to be creative. Their view seems to indicate that the relationship between creativity and artificial intelligence may have several societal and ethical implications that need to be addressed in the future. Kreativitet konst artificiell intelligens AI-konst den institutionella konstteorin estetik Philosophy Filosofi Art History Konstvetenskap Visual Arts Bildkonst Cultural Studies Kulturstudier
3	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-models Persson, 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. actor network theory AI-art AI-image artificial intelligence diffusion art prompt prompting Stable Diffusion GAN midjourney ANT aktör nätverks teori AI-konst AI-bild AI-modell AI artificiell intelligens diffusions-konst GAN-konst bildmaterial träningsdata appropriering latent utrymme generativ Latour Art History Konstvetenskap

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