Rigorous approaches for software supply chain management have gained paramount importance in recent years, given the need for governmental organizations to ensure transparency in software projects. With the increasing pervasiveness of AI-intensive systems and the growing use of generative AI in software development, the requirements and challenges for managing such supply chains become increasingly complex. This keynote will discuss, on the one hand, the current state of practice in AI supply chains with regard to transparency challenges and requirements for AI-intensive systems. On the other hand, it discusses process-related challenges associated with incorporating generative AI in software development, along with the consequent legal, security, and maintainability implications.

Massimiliano Di Penta is a full professor at the University of Sannio, Italy. His research interests include software evolution, software analytics, recommender systems for software engineering, DevOps, and software engineering with/for AI. He is author of over 260 papers that appeared in international journals, conferences, and workshops. He has received several awards for research and service, including four ACM SIGSOFT Distinguished Paper awards. Most importantly, he has received several distinguished reviewer awards. He serves and has served in the organizing and program committees of more than 100 conferences, including ICSE, FSE, ASE, and ICSME. He has been program co-chair of ICSE 2023, ESEC/FSE 2021, ASE 2017, and several other conferences. He is associate editor-in-chief of IEEE Transactions on Software Engineering, and co-editor-in-chief of the Journal of Software: Evolution and Processes edited by Wiley. He is an editorial board member of the Empirical Software Engineering Journal edited by Springer. He has served on the editorial board of the ACM Transactions on Software Engineering and Methodology and IEEE Transactions on Software Engineering.