As an artist working with experimental technologies, hacking/re-purposing tools to create artistic works I’m often looking for ways in which I can create intimate shared experiences. Even before the pandemic, a lot of my practice was being conducted solely through computer based interactions due to a lack of funding and other resources. This mode of working allowed me to focus my practice towards making accessible works and I began thinking about the language, technology and context accessibility of my works within a larger contemporary art conversation.Continue reading “04 ಕಥೆ Kathe (Story) / Dematerialise”
‘your dataset won’t let me thrive / your dataset must die’ are a pair of video essays that seek to counter the mythologies surrounding Artificial Intelligence datasets & algorithms They are carried out as a comparative study of the works of the Black Beat Poet Bob Kaufman and the Kannada Dalit poet Siddalingaiah whose words (translation) are input into the text based neural network GPT-2. The visual aesthetics of the work are drawn from generative AI imagery of brown faces, creative programming as well as animated representation of the words of each poet alongside text generated by the algorithm. The inability of the algorithm to generate text drawn from sufficient references to Black & Bahujan lived experiences reveal the encoded biases within the dataset and trace their origins to harmful mythologies of Caste & Race.
The works were commissioned by the Mozilla Foundation as part of the Reclaiming AI Futures project for the AI Observatory (https://ai-observatory.in/)