How do humans and AI systems interact, shape meaning and reinforce bias?
My research lies at the intersection of human-AI interaction and ethical AI, focusing on how people engage with AI systems, how AI encodes identity and representation and how visual data are used in AI systems.
My research integrates ethical design, sociotechnical bias and computer vision to ensure AI systems are inclusive, accountable and aligned with human values.
Research Areas:
✔ Human-Machine Interaction & Ethical Design: investigating how AI systems influence decision-making, trust, and ethical design practices.
✔ AI, Identity & Representation: examining gender, LGBTQI+ representation and broader sociotechnical bias in AI.
✔ AI & Visual Data: analyzing how machine learning models process, generate, and represent images in ways that shape meaning.
I engage with interdisciplinary approaches spanning computer science, social science and critical AI studies to build AI systems that better reflect diverse human values.
