| PRESENTS a Seminar
“AI System Health Assessment Model”
Date: Tuesday, 19th November 2024
Time: 2:00 – 3:00 PM
Location: CPG, Bldg. 76 Room 1218
Dr. Asif Gill,
Professor
Head of Discipline Software Engineering
University of Technology Sydney, Australia
ABSTRACT: AI system is made of both the application and data components. AI application has different types of algorithms such as supervised learning, unsupervised learning, reinforcement learning and deep learning. These algorithms process large amount of structured, semi-structured and unstructured components. AI applications grow over the data, and their quality depends on underpinning data components. Data architecture provides the design and integration of data components. Overall, quality of an AI system depends on the health of both the AI application and data. This presentation discusses the AI System Health Assessment Model, which can be used to assess the AI + Data health from criticality, business fit, technology fit, privacy, security, and trust perspectives.
SHORT BIO OF THE PRESENTER: Professor Asif Gill is Head of Discipline Software Engineering at the School of Computer Science, UTS. He is also a Director of the DigiSAS Lab. He is academic cum practitioner with extensive 20+ years’ experience covering various academic and professional roles. Throughout his 20+ years' career, along academic roles, he spent significant time with industry and government through expert advisory and consulting in strategy, enterprise architecture and innovation across information (data, analytics, AI), software, security, and sustainability domains. He is a member of the ACS Data Sharing Committee, IFIP Technical Committee 8.1, and Standards Australia Software and Systems Engineering Committee IT-015. He is also an associate editor of the IEEE Transactions on Technology & Society, and Springer Nature Discover Data journals.
All faculty, researchers and graduate students are invited to attend. |