IFML Public Lecture: AI for Accurate and Fair Imaging
![IFML Public Lecture](/sites/default/files/styles/featured_image_720x450_/public/2022-06/IFML%20Public%20Lecture.jpg?itok=ErnTCTHt)
On April 1, IFML held its inaugural public lecture, "AI For Accurate and Fair Imaging" with Alex Dimakis. The talk covered recent research into bias in AI imaging algorithms. In 2020, a deep learning generative model with groundbreaking performance was posted on the web. The model could turn low-resolution images to high-quality photos. A user uploaded a low-resolution image of President Obama and obtained an image that is now referred to as ‘White Obama’. The deep learning model was reconstructing images with predominantly white features and a heated debate arose across Twitter and other social media: Researchers at UT Austin set out to find the source of the problem and solve it. Watch a replay of the talk and read the news article: "UT Austin researchers tackle AI that created 'White Obama' image.