In 2019, Feeding America collected thousands of pictures of American citizens to merge them into one AI deepfake. The campaign was named I Am Hunger in America and was created to represent what someone experiencing hunger looks like in America- their point being that the image looks like your friend or neighbor, and hunger is all around us. The image, “Emily,” was generated by compiling the faces of thousands of people ‘struggling with hunger’ by utilizing United States Department of Agriculture (USDA) demographic data. This data included race, gender, and age to transform into one face, Emily. Emily is able to move, speak, and is very lifelike. Emily also has a video on Youtube (MultiVu, 2019), announcing her purpose to the world. The degree project will analyze how this campaign was perceived by the public across America, by studying the comments on the YouTube video of Emily’s debut and holding a focus group. This research also aims to uncover ethical considerations and challenges associated with implementing AI in this deepfake form. It also analyzes the ethics behind this form of data collection, through research and interviews. A better understanding of the datafication and photographs of thousands of food insecure citizens in the United States and how that information translates into a single campaign will come forth throughout this research. The ethical storytelling movement is taking place within both international and national NGO’s; however, in order to learn, we must examine past campaigns and donor communication strategies to take a more ethical and understanding approach of “the other.” The use of AI has made its way into nearly every aspect of our everyday lives, including Communication for Development. How humanitarians are collecting stories and taking photographs, even though it may be for a good cause, could be benefitting the organization much more than the people behind the story. This project is meant to uncover the difference between “doing good vs. looking good.”