In this section, you can find the ongoing research projects I’m currently or previously involved in. If you see an opportunity and you want to collaborate with us, feel free to contact me.

Image Tagging Algorithms (ITAs) are extensively used in our information ecosystem, from facilitating the retrieval of images in social platforms to learning about users and their preferences. However, audits performed on ITAs have demonstrated that their behaviors often exhibit social biases, especially when analyzing images depicting people.

We developed this award-winning online research platform (Best demo award at HCOMP 2020) for Understanding the Human Perceptions of Image Tagging Algorithms. The platform is using Amazon Rekognition, Google Vision, and Clarifai to annotate people’s uploaded photos with predicted tags, and then the people have to respond to a predefined survey. The purpose of OpenTag is twofold: (i) it serves as a research tool for understanding people’s perceptions of ITA outputs and, (ii) as an awareness tool to help the general public in understanding the risks when using applications that are based on ITAs, by considering the results they get in response to their own images.

* If you want to get access or collaborate with us on OpenTag, please contact me.