Percorrer por autor "Terra, William Albuquerque"
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- Artificial comedy: assessing the potential of generative AI in visual humourPublication . Terra, William Albuquerque; Côrte-Real, EduardoThis dissertation investigates the use of the recent technologies of generative artificial intelligence in the field of visual humour, exploring the potential of these technologies in the creation of humorous images popularly spread through the internet in the form of memes. The new technologies of artificial intelligence are expected to revolutionise different aspects of human society. For some time it was thought that the creative field was excluded from the interference of such tools. However, the popularisation of generative AI has shown a great capacity for these tools to create high-quality images. Through a comprehensive literature review that englobes the fields of art history, humour studies, aesthetics, visual culture, and artificial intelligence, this study sheds light on the complex dynamics of the creation and reception of visual humour, particularly in the context of internet culture. To obtain a proper analysis, some methods of visual analysis were applied to complement the literature review. The methods included the assessment of internet memes created by different meme creators and the attempt to reproduce successful memes using generative AI tools. The research reveals that visual humour operates as a nuanced cultural language, heavily reliant on specific cultural references for its efficacy. Furthermore, it uncovers the inherent limitations of AI tools in reproducing these cultural nuances visually, hence limiting their ability to become an effective tool for creating visual humour. Moreover, the study highlights the challenge of delineating the formula of humour, a task that is highly complex for humans and extremely limited to be translated to mathematical data which is the way computers operate. There are also difficulties encountered in the translation of written words into visuals. These limitations underscore the need for a deeper understanding of the cultural and contextual intricacies of humour and the current limitations of artificial intelligence.