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.