Keynote Speaker

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Prof. Dr. Tanveer Zia

University of Notre Dame, Australia
Title: AI in Education: Balancing Innovation Responsibly
Abstract

The use of Artificial Intelligence (AI) in education offers efficiency to both educators and students. Educators can optimise their time by using prompts to plan their lessons, tailor the course specific assessment tasks, and create personalised learning experiences. Similarly, students can efficiently use their research time and increase their productivity. However, there are significant risks associated with the misuse or over reliance on AI. There are growing concerns that excessive use may make individuals overly dependent on technology impeding their critical thinking and problem-solving skills. This is particularly worrying that AI’s overuse in learning and teaching can result in inequitable outcomes potentially undermining the integrity of academic standards. This talk will examine some of the important considerations about the responsible use of AI in education settings.

Biography

Tanveer Zia is a Professor and Head of the Computer Science at the University of Notre Dame Australia. His previous role was as the Associate Director and a founding member of the Centre of Excellence in Cybercrimes and Digital Forensics at the Naif Arab University for Security Sciences in Riyadh, a position he held from February 2021 to February 2024. Before that, Tanveer was a Professor of Computing and Associate Head of the School of Computing, Mathematics, and Engineering at Charles Sturt University, Australia. With a rich academic background, Tanveer specialises in secure systems, particularly focusing on wireless networks and the Internet of Things (IoT). His research primarily revolves around ensuring the security of low-powered devices like wireless sensors and body area networks. Additionally, he actively engages in collaborative research encompassing biometric security, cloud computing security, information assurance, identity theft prevention, trust management, privacy-preserving data sharing, forensic computing, and ethics in Artificial Intelligence.

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