Responsibile and Reliable AI: Activities of the CINI-AIIS Lab at University of Naples Federico II

Over the course of the last decade, AI researchers have made groundbreaking progress in hard and longstanding problems related to machine learning, computer vision, speech recognition, and autonomous systems. Despite the success of AI, its adoption so far is mostly in low-risk applications, while the uptake in medium/high-risk applications, which might have a deeper transformative impact on our society, such as in healthcare, public administration, safety-critical industries etc., is still low compared to expectations. The reasons for such lagging are profound and range from technological limitations to difficulties associated with the conformity assessment to policies and standards. This paper introduces and discusses the perspectives and initiatives undertaken in these regards by the CINI AI-IS (the Italian National Consortium for Informatics, Artificial Intelligence and Intelligent Systems) Lab at the University of Naples Federico II.