Conference session

How might researchers and artists working with sensitive materials protect their research from extractive gen-AI technologies? How might they do so while still remaining in conversation with evolving technologies? The presentation addresses humanities related concerns about generative artificial intelligence and its impact on minoritarian gendered and racialized communities. By democratizing gen-AI discourse, the presentation attempts to reorient agency and power-relations within contemporary humanities. Participants from broad intersections of the humanities, both physical and digital, will benefit from the critical analysis of the creation, marketing, and impact of large language models (LLMs) and synthetic image generative AI models. The presentation seeks to provide participants with specific overview of the rapid evolution of gen-AI models over the past few years, the dystopian feedback loops produced by gen-AI based synthetic content, and paratopian design strategies employed by minority communities evading dark marketing and extraction patterns displayed by gen-AI applications.