In this work, we provide a general framework for studying these problems, which we refer to as Responsible AI (RAI) games .

Continual semantic segmentation aims to learn new classes while maintaining the information from the previous classes.

Large conferences such as NeurIPS and AAAI serve as crossroads of various AI fields, since they attract submissions from a vast number of communities. However, in some cases, this has resulted in a poor reviewing experience for some communities, whose submissions get assigned to less qualified reviewers outside of their communities. An often-advocated solution is to break up any such large conference into smaller conferences, but this can lead to isolation of communities and harm interdisciplinary research.

Fairness in machine learning has attracted increasing attention in recent years.

Missing values in real-world data pose a significant and unique challenge to algorithmic fairness.

Machine learning is now an integral part of decision-making processes across various domains, e.g., medical applications [