Wednesday, October 27, 2021
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.