OPEN TALK (AI): The Hidden Side of AI

Apoorva Dornadula, Head of Engineering, Viralspace

Apoorva Dornadula is the Head of Engineering (previously co-founder & CTO) at Viralspace, a startup that was recently acquired Viralspace uses AI to help marketers make data driven decisions about their ad creative. She leads the engineering and AI development where she innovates at the intersection of computer vision, AI explainability, and multimodal machine learning. Apoorva is on the Forbes 30 Under 30 list for 2021 in the Marketing & Advertising category. Prior to Viralspace, she did her Masters in Computer Science at Stanford University and was a researcher in the Stanford Vision Lab. Her research focused on scene graph technology where she worked on understanding objects, attributes, and visual relationships in images. Before Stanford, Apoorva studied Electrical Engineering and Computer Science at UC Berkeley. In her free time, Apoorva likes to solve puzzles, learn new languages, and spend time with her family & friends.

From search engine results to social media feeds, the applications powered by AI are ubiquitous in our day to day lives. However, there are many dangers of using AI, from amplifying historical biases to making decisions that we cannot interpret. With the rise of AI-based solutions, the need for us to understand the motivation behind these black-box models is imperative. In this session, we explore real scenarios that show the perils of using AI in the wild and understand why simply optimizing for accuracy or performance is not enough. Learn how these risks can be addressed through the use of various techniques throughout the model development and deployment process.