Testing AI based systems
Speaker: Prof. Aldeida Aleti
Faculty of Information Technology
Monash University
DEIB - Beta Room (Bld. 24)
April 8th, 2024 |11.30 am
Contact: Prof. Luciano Baresi
Research Line: Advanced software architectures and methodologies
Faculty of Information Technology
Monash University
DEIB - Beta Room (Bld. 24)
April 8th, 2024 |11.30 am
Contact: Prof. Luciano Baresi
Research Line: Advanced software architectures and methodologies
Sommario
On April 8th, 2024 at 11.30 am the seminar "Testing AI based systems" will take place at DEIB Beta Room (Building 24).
Software Testing is a well-established area in software engineering, encompassing various techniques and methodologies to ensure the quality and reliability of software systems. However, with the introduction of artificial intelligence-based systems, new challenges arise in the testing domain. These systems, capable of generating novel and creative outputs, introduce unique complexities that require novel testing approaches. In this talk, I aim to explore the challenges posed by AI systems and discuss potential opportunities for future research in the field of testing. I will also introduce some of our work that addresses some of these challenges. I will touch on the specific characteristics of AI systems that make traditional testing techniques inadequate or insufficient. By addressing these challenges and pursuing further research, we can enhance our understanding of how to safeguard AI and pave the way for improved quality assurance in this rapidly evolving domain.
Software Testing is a well-established area in software engineering, encompassing various techniques and methodologies to ensure the quality and reliability of software systems. However, with the introduction of artificial intelligence-based systems, new challenges arise in the testing domain. These systems, capable of generating novel and creative outputs, introduce unique complexities that require novel testing approaches. In this talk, I aim to explore the challenges posed by AI systems and discuss potential opportunities for future research in the field of testing. I will also introduce some of our work that addresses some of these challenges. I will touch on the specific characteristics of AI systems that make traditional testing techniques inadequate or insufficient. By addressing these challenges and pursuing further research, we can enhance our understanding of how to safeguard AI and pave the way for improved quality assurance in this rapidly evolving domain.
Biografia
Aldeida is an Associate Professor at Monash University, specializing in the intersection of AI and software engineering. Her research focuses on developing AI methods that automate various software development tasks, including software design and testing. She has also contributed to the field of testing by devising testing approaches to evaluate the quality of AI-based systems. With her expertise, Aldeida has led multiple teams working on AI and software engineering projects, amounting to a cumulative value exceeding $7M. She takes pride and joy in mentoring and advising over 15 PhD students and 5 research fellows, contributing to their academic and professional growth. In addition to her academic role, Aldeida holds the position of Associate Dean for Engagement and Impact in the Faculty of IT at Monash University. In this influential capacity, she has successfully established and nurtured substantial partnerships with industry-leading organizations, fostering collaborative initiatives on a large scale.
