School of Computer Science and Statistics
Risk detection models (such as IBM’s Granite Guardian) are increasingly used to flag harmful prompts and responses in large language model pipelines. These systems are trained on human and synthetic data to identify risks across multiple dimensions, but their reliability and fairness are not guaranteed. They may over-flag certain groups, miss subtle harms, or be … Read more
Comprehension is rarely passive. In real life, we listen because we intend to respond, to answer a question, continue a conversation, or signal understanding. Yet the overwhelming majority of studies ask participants to do precisely nothing: sit still, listen to a story, answer a few questions at the end. Whether this unnatural setup distorts the … Read more
Are you interested in researching generative AI techniques for visual content creation?
In this project, we will explore generative AI with a focus on image, video, and 3D content creation and editing. You will build up your background in computer graphics and computer vision and conduct research in the following themes including latent diffusion models and neural radiance fields.
Many projects are available in computational linguistics, artificial intelligence, cognitive science, etc. (see here — https://www.scss.tcd.ie/Carl.Vogel/main.2024-2025.shtml).
[MSc Level] This project will involve creating a real-time enfacment system from the state of the art deep-fake networks, and conducting perceptual experiments to identify if participants have ownership of their new face, and if properties of the source-actor (e.g., age, gender, etc.) can be perceived, even though the generated video is a photorealistic … Read more