EDGE-AI Insights: Navigating the Future of Learning with Generative AI

Technological innovation has made generative AI widely available. One promising application is to provide individualized feedback at scale. In this project, we draw on research in psychology and economics to examine the inferences people make about AI-generated or AI-supported feedback. We find that AI is viewed as less benevolent and trustworthy than humans, which suggests instructors may want to be cautious when relying on AI even when they are satisfied with the quality of the feedback it provides. Our findings suggest two potential approaches for instructors to minimize this risk. First, they may want to avoid using it in contexts which require high levels of empathy. Second, although we observe a preference for being assessed by humans, telling people who receive AI-generated feedback that a person reviewed the feedback before releasing it mitigates the impact on perceived benevolence.

Speakers:

	Prof Brad BITTERLY Assistant Professor, Department of Management Prof Brad Bitterly is an Assistant Professor of Management at HKUST Business School. His research interests include trust, communication, and negotiations.
	Prof David HAGMANN Assistant Professor, Department of Management Prof David Hagmann is an Assistant Professor in the Department of Management at HKUST. His research focuses on the behavioral economics of information, finding that people at times actively avoid information that could help them make better decisions. His work shows that systematic errors in information processing lead to a myriad of consequences ranging from hiring discrimination to holding individuals, rather than governments, responsible for fixing policy problems like climate change.
	Miss Mingyu LI PhD Student, Department of Management Mingyu Li is a PhD Candidate in the Management Department of HKUST Business School. Her research interests include trust, artificial intelligence, and emotions.

When students are learning about AI, educators emphasize the necessity of human oversight, ethical considerations, and collaborative decision-making to ensure responsible and beneficial use of AI technologies. While Design Thinking is a popular approach that equips students to tackle complex challenges, its human-centered provides an excellent foundation for students to explore the applications of Generative AI (Gen-AI) tools while keeping ‘humans-in-the-loop’.

In this workshop, Jac will share his ongoing work in the EDGE-AI Project: AI-Powered Design Thinking. This session will focus on several use cases of Gen-AI tools in a project-based environment. Participants will discuss the potential of integrating AI into Design Thinking for improving students’ idea generation, decision-making, and user research techniques. Participants will also engage in hands-on activities, trying out selected class activities that can be transferred to other AI-powered courses."

Speaker:

Dr Jac LEUNG Lecturer, Division of Integrative Systems and Design Dr Jac Leung is a Lecturer in the Division of Integrative Systems and Design at The Hong Kong University of Science and Technology. He has attained the Doctor of Education from The University of Hong Kong. Jac is a seasoned trainer, facilitator and supervisor for student innovation projects. He is dedicated to promoting human-centered approaches and project-based learning practices. He is a co-author of the book AI Literacy in K-16 classrooms. Recently, Jac is working on several projects related to applications of Generative AI in teaching and learning.