Due to easy-to-use language-based systems, generative AI has taken center stage in many industry sectors in the last few years. Neophytes and practitioners in public and private organizations from different company functions have been asked to work differently and create new products and services using intuitive and programmable interfaces. In the meantime, AI researchers have unveiled critical limitations of the deep-learning models that could hinder their inclusion in innovation processes, products, and services.

This talk will review the current state of the art in generative AI models, their severe limitations, and future challenges. Beneficial technology and systems must be created ab initio. We will give insights into how to create fundamental research challenges while pursuing innovation in AI system training and development.

Bio

Giuseppe Riccardi is the founder and director of the Signals and Interactive Systems Lab at the University of Trento, Italy. He received the MSEE and PhD in Electrical Engineering from the University of Padua (Italy),

From 1993 to 2005, he was at AT&T Bell Laboratories (USA) and then AT&T Labs-Research (USA) in the Speech and Language Processing Research Division. In 2005, he joined the Department of Information Engineering and Computer Science at the University of Trento (Italy). 

Prof. Riccardi’s research focuses on conversational artificial intelligence, computational models for natural language processing, human-machine dialogue, and affect management. In the late 1990s, he and his colleagues at AT&T designed, trained, and deployed “ How May I Help You ? “, the first large-scale natural language human-machine dialogue system. His research aims to create human-machine interaction and conversational systems that can benefit individuals, their well-being, and their health.

He was elected a Fellow of IEEE (2010),  ISCA (2017), and AAIA (2023).