What does it mean for image generation to be responsible?

Recently, large multi-modal models that can generate images based on textual descriptions (also called text-to-image generation models) have exploded in popularity. Research community announced multiple models and the public started to pay attention to these models that provide creative image generation and editing capabilities. These models are trained on large datasets of images and aligned texts and employ various deep learning methods. With all the impressive capabilities of text-to-image generation technology, they present many risk factors and it is imperative to understand these risks and find solutions. In this talk, I will go over Google’s text-to-image models Imagen and Parti, and discuss what it means for image generation models to practice responsible AI.

About Burcu Karagol Ayan

Senior Software Engineer at Google Research

Burcu Karagol Ayan is a software engineer at Google Research working on multimodal datasets, text-to-image generation models and responsible AI for multimodal systems. She is the one of the co-authors of Google’s diffusion based Imagen and auto-regressive Parti text-to-image models. She has a PhD in Natural Language Processing from the University of Maryland, College Park.

Burcu Karagol Ayan