By Sujit Prakash Gujar, International Institute of Information Technology, Hyderabad

Abstract 

With the success of Deep Learning (DL), AI has immensely impacted our lives through different applications from several prominent AI fields. (including computer vision, natural language processing, and bioinformatics. The proliferation of AI-based methods has brought to light critical issues about bias (or unfairness) in classification and weak privacy guarantees of the training data. It is crucial to prioritize addressing these issues to prevent the potentially significant negative impact on users. With proliferation of Internet, distributed way of learning is becoming popular, Thus, there is need to build future AI systems that make fair decisions, protect privacy of individuals and additionally robust to manipulation by different agents, that is ensure strategyproofness. In this talk, we give an overview of all three essential aspects of AI systems, and in particular, we talk about fair and privately distributed AI.