Content Aware Studies
The Content Aware Studies (CAS) Series is a collection of AI experiments, objects, moving image works, films, and essays that explore the use of machine learning in historical analysis and reproduction. Developed through collaborations with data scientists, the series challenges established AI methodologies and questions the ethical and epistemological challenges of computationally automated knowledge production. Using datasets of 3D scans of classical sculptures and prehistoric and geologic time archives, the series generates algorithmically genuine objects that pose questions about their authenticity and the biases embedded in their creation. The series provides a critical examination of the epistemic biases and ethical concerns of computationally accelerated studies.