PROGRESS-ICASSP 2022: Who is Responsible for AI

With widespread application of intelligent systems in the society today, we are facing unprecedented demands to make signal processing and AI algorithms more robust & safe, more fair, more secure, more explainable and more accountable. In this talk, I will give an introduction to such challenges in our research field today and describe my personal experience in awakening to the need of making AI "responsible". I will discuss the role and impact of a signal processing researcher in the new era of Responsible AI.