5 papers
IYKYK (But AI Doesn't): Automated Content Moderation Does Not Capture Communities' Heterogeneous Attitudes Towards Reclaimed Language
Christina Chance, Rebecca Pattichis, Arjun Subramonian +4
Reclaimed slur usage is a common and meaningful practice online for many marginalized communities. It serves as a source of solidarity, identity, and shared experience. However, co…
Inverting Neural Networks: New Methods to Generate Neural Network Inputs from Prescribed Outputs
Rebecca Pattichis, Sebastian Janampa, Constantinos S. Pattichis +1
Neural network systems describe complex mappings that can be very difficult to understand. In this paper, we study the inverse problem of determining the input images that get mapp…
Understanding Neural Network Systems for Image Analysis using Vector Spaces and Inverse Maps
Rebecca Pattichis, Marios S. Pattichis
There is strong interest in developing mathematical methods that can be used to understand complex neural networks used in image analysis. In this paper, we introduce techniques fr…
Leveraging Language Models to Detect Greenwashing
Avalon Vinella, Margaret Capetz, Rebecca Pattichis +3
In recent years, climate change repercussions have increasingly captured public interest. Consequently, corporations are emphasizing their environmental efforts in sustainability r…
Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation
Yixin Wan, Arjun Subramonian, Anaelia Ovalle +6
The recent advancement of large and powerful models with Text-to-Image (T2I) generation abilities -- such as OpenAI's DALLE-3 and Google's Gemini -- enables users to generate high-…