Through AI and computational technologies, artists Carrie Ann Baade, Tyanna Buie, Blažo Kovačević, and Tara Youngborg construct layered narratives that reclaim overlooked and marginalized histories. In doing so, these artists unsettle dominant cultural and media frameworks that have long erased, distorted, or commodified lived experience. Exploring themes of identity, ancestry, and displacement, they use generative tools as critical instruments to question, expose, and reconfigure the archival and institutional biases embedded in history, culture, and the environment. From ancestral reclamation and speculative futures to immersive storytelling and data-driven environmental translations, their work advances a reimagining of social justice through the lens of artificial intelligence.
Together, these artists offer a complex portrait of making in the age of AI, revealing how tools shaped by those in power can both perpetuate bias and enable resistance. Their work asks: Who shapes the cultural record? When an AI model “remembers,” whose truth is it repeating? How can we reclaim agency within these systems (built on our collective labor)?
The images at the beginning of this post are from Carrie Anne Baade’s series, Birthplace. Her mixed media portraits of her ancestors, created with the help of AI, present a fascinating look at the stories of several women from early in American history.
From Baade’s statement about the work-
Birthplace is a visual exploration of personal ancestry, delving into the lives of women from colonial Louisiana between 1690 and 1750. Through oil painting, collage, and Al-generated imagery, I reconstruct the presence of these women-figures shaped by French colonial rule, Indigenous displacement, and Romani migration-whose stories have been largely absent from recorded history. Employing a methodology that blends archival research with imaginative storytelling, I create portraits that serve as visual hypotheses-acts of artistic and ancestral repair. The compositions incorporate antique lace, colonial maps, domestic fabrics, and found objects, mirroring the intertwined textures of lineage, migration, and identity. Al-generated image blending aids in synthesizing historically plausible references, speculating on the appearance and presence of women who were never visually recorded.
This project is not about one family, but a shared American inheritance. It reveals the complexity of identity in a land shaped by colonization, migration, and erasure. In rematriating these women to history, Birthplace offers viewers a visual counter-history-one rooted in survival, interconnection, and the enduring power of maternal lineage.
Pictured below are works from the other artists in the exhibition along with information provided by the museum.
Tara Youngborg examines how institutional data and machine learning shape our understanding of land and environment. Using field research, environmental archives, and US Geological Survey datasets, her datastream translates waterflow data and topographic maps into immersive video installations that highlight the limitations of digital representation. By transforming statistics into layered, shifting media, Youngborg portrays landscapes as dynamic terrains of knowledge. Glitches and ruptures in the work expose gaps between digital abstraction and lived experience, prompting questions about algorithmic authority and what is lost when place is reduced to data.