AI and the data shadow

Abstract

My aim with this research is to provide a setting to study AI as an active participant in a theatrical process. In real-time interactivity, co-creating narratives with human participants while creating an opportunity for the participants to explore their data shadow. The encounter and research seeks to expose the inner workings of AI tools, laying bare their processes for participants to observe and judge. This, in turn, allows the participants to foster a deeper understanding of how their personal data is being utilised and transformed by these technologies.

To facilitate this study, my goal was to create a space that facilitated a 'data self-encounter', where participants interact with their personal data transformed through algorithmic processes using AI generative tools. By design, this setting consists of two sides that create the full image: the personal and digital sides. The personal concept aspect is fundamental in the project, making interactivity crucial, especially in finding a structure that serves to explore the participant's input, such as dreams or memories. As for the digital side, it was important to include elements that transform data that is specific to the individual. This came in many forms, such as voice and imagery. AI tools such as Deepfakes, Eleven labs and ChatGPT have made such manipulations widely accessible allowing for quick turnarounds in turn, enabling a new way to modify and repurpose personal data.

In the end, this allows the participant to experience the ways they could explore their digital identities in an interactive theatrical setting. To lay the groundwork for this examination, it is essential to define key concepts that will underpin the final analysis.