About This Talk
Generative AI is transforming advertising and marketing by enabling the creation of multimodal content like images, video, and text that feels more tailored and engaging than ever before. However, these creative advances raise important questions about privacy, security, transparency, and fairness. This talk will explore how responsible AI practices, including approaches such as federated learning and differential privacy, can support personalization in advertising without compromising user trust.
Presenters
Fiona Victoria
Graduate Research Assistant, Oregon State University
Fiona Victoria is a third-year PhD student in Artificial Intelligence at Oregon State University, where she develops machine learning and deep learning methods for ecological discovery and environmental impact. During her Master’s at UW, she authored Phoenix, the world’s first federated diffusion model, which opened a new direction for privacy-aware generative AI and earned broad recognition, including an invitation from the CEO of Flower Labs to present her work. Fiona has also been a Research Intern at Micron Technology, contributing to product yield optimization through the use of novel deep learning and generative AI techniques. In addition, she serves on program committees and reviews for leading conferences, including ICWSM, NeurIPS, NAACL, TKDD, and IEEE journals. Her research combines technical innovation with ethical purpose, advancing AI for social good.