AAII Research Seminar Series | Seminar 5: Prof Liming Zhu
The UTS AAII Research Seminar Series | Seminar 5
The UTS AAII Research Seminar series is dedicated to fostering an engaging, inclusive, and interdisciplinary environment for internal and external AI researchers to share research ideas and findings in person. Our goal is to promote cross-lab communications and achieve visionary collaborations.
The series will encompass a wide range of AI topics, spanning from theoretical foundations to cutting-edge methodological development, cross-disciplinary applications, and insights from industry practices.
With a monthly cadence, this seminar series will offer valuable opportunities to invite world-renowned visiting scholars to share their latest research frontiers, mentor AAII’s middle and early career researchers with the guidance for research leadership, and educate HDR students to hone their presentation and communication skills to excel in their academic journeys.
Responsible AI Engineering: A System-Level Approach to Testing Transparency and Accountability
Abstract: This presentation explores the systemic challenges and solutions in responsible and safe AI, emphasizing a system-level engineering approach to testing, transparency, and accountability. It covers the operationalization of high-level principles and frameworks through measurement science, system design patterns, and system-level understanding, without necessarily perfecting the underlying AI models. The talk will also touch on the latest developments in Australia's AI safety standards, the international AI safety summit, and regulatory movements.
