AI: Artistic Interpretations unites the creativity of fiber artists from across the globe with the algorithms, data, and machine learning of Artificial Intelligence. This exhibition will showcase the boundless creativity that emerges when human artistry combines with the potential of technology. Use artificial intelligence as a tool in your artwork or express your response to it.
Combining artistry and technology developed from human inputs, AI: Artistic Interpretations encourages artists to explore what they can make when blending AI generated material with their own creative styles, resulting in works of art inspired by, or responding to, artificial intelligence and digital media. Wall-hung, ceiling-hung, and 3D artwork are all acceptable.
This groundbreaking exhibition is a collaboration between Louisiana State University Museum of Art (LSUMOA) and Studio Art Quilt Associates. The museum seeks to enrich and inspire through collections, exhibitions, conservation, and education, serving as a cultural and intellectual resource for the University, Baton Rouge, and beyond.
EXHIBITION SCHEDULE
Louisiana State University Museum of Art, Baton Rouge, Louisiana: February 5 - May 10, 2026
ARTWORK REQUIREMENTS
Wall-hung (2D and 3D), freestanding, and ceiling suspended artwork are eligible.
- Pieces may not exceed 96” (8 ft / 243cm) in height, width, or depth. There is NO minimum size.
- All artwork must fit through a standard 34” doorway. Ceiling suspended pieces cannot exceed 20 lbs.
- Wall-hung pieces (2D and 3D) must hang without distortion. Traditional quilt sleeves, stretcher bars, framed or mounted work, and other hanging mechanisms are acceptable.
- Artwork must SAQA’s definition of an art quilt: "a creative visual work that is layered and stitched or that references this form of stitched layered structure."
IMAGE REQUIREMENTS
It is critical that submitted images be of the best possible quality: in focus, with clear details, and following SAQA's digital image requirements. Read Tips for Successful Art Quilt Photography and Submitting Digital Images first!
- For each wall-hung 2D entry (depth is less than 2 inches), submit one full view front digital image and one detail digital image.
- For each 3D artwork (wall-hung or freestanding), submit one overall front image and two detail images
- Full-view images MUST show all the edges along with a small amount of background.
- Detail images should preferably be in portrait orientation. Do not simply crop your full-view image.
- Digital images must be saved as a high-quality JPEG or JPG file (No TIFF files). Do not use your name or initials in the filename (title is fine).
- Finished images should be at least 2100 pixels on the longest side (no maximum).
Common errors include:
- Images that are out of focus or too small
- Cropping images too closely on the full-view image. All edges of the artwork must be visible along with a small amount of contrasting background. Do NOT crop your photo into any part of the artwork as this may disqualify your entry.
- Your background should be neutral and not include distracting elements such as hands, floors, studio, pets, pins, etc.
ELIGIBILITY / FEE
Artists must be a current SAQA member to enter this call. $50 USD for up to 3 entries. $40 ($10 Early Bird Discount) if all entries submitted by April 15, 2025. Entry fee must be paid online before the entry deadline via a credit card or PayPal at www.saqa.com/fees.
QUESTIONS?
If you have questions about this exhibition, please refer to SAQA’s Exhibition Guidelines and FAQs where many exhibition related questions are answered. If you have any further questions, please contact us at calls@saqa.art.
Michelle Schulte is the Chief Curator of Exhibitions and Collections at the LSU Museum of Art in Baton Rouge, Louisiana. Passionate about designing object based museum experiences, continuing education, and the advancement of the next generation of museum professionals, Schulte has held leadership positions with numerous museum and art education associations and presently serves on the Southeastern Museums Conference (SEMC) Executive Council and is Chair of the 2024 Local Arrangements Committee for the Baton Rouge SEMC conference. She earned a Bachelor of Fine Arts degree in photography from the Savannah College of Art and Design, a Georgia State Teaching Certification in arts education from Armstrong Atlantic State University (now Georgia Southern University), and a Master of Arts in museums studies from Johns Hopkins University. 
Dr. Golden G. Richard III is an applied computer scientist working in cybersecurity, a Fellow of the American Academy of Forensic Sciences, and a devoted advocate for applied cybersecurity education, with over forty-five years of practical experience in his field. Richard currently serves as Professor of Computer Science and Engineering, Director of the LSU Cyber Center and Applied Cybersecurity Lab, and Associate Director for Cybersecurity, Center for Computation and Technology at LSU. His primary research interests include memory forensics, digital forensics, malware analysis, exploit development, reverse engineering, systems programming, and operating systems. Richard earned his Bachelor of Science in computer science from the University of New Orleans, and a Master of Science and Ph.D. in computer science from The Ohio State University.
Dr. James Ghawaly Jr. is an Assistant Professor of Computer Science and Engineering and a Special Assistant to the Provost on Machine Learning at Louisiana State University (LSU). He researches modern and emerging machine learning techniques with applications for national security, with a focus on cybersecurity, artificial intelligence, AI security, neuromorphic computing, and neural network architecture. Building off his passion for neuromorphic computing, applied deep learning, and machine learning-enabled sensing, Ghawaly is developing a graduate-level course focusing on transformers and other emerging deep learning architectures. He holds a Bachelor of Science in nuclear engineering, a Master of Science in computer engineering, and a Ph.D. in nuclear engineering, all from the University of Tennessee, Knoxville.