Past Events

Discover the productivity boost of generative AI as your teaching assistant! Explore effective strategies for prompt engineering and iterative refinement. Engage in hands-on activities to explore how ChatGPT can assist in crafting engaging course content, designing impactful activities, and providing valuable student feedback.

Join Justice Anselmo Reyes, Singapore International Commercial Court, and the panel at this event which marks the launch of The Cambridge Handbook of Private Law and AI edited by Ernest Lim and Phillip Morgan. It is the first dedicated treatment of the interface between AI and private law, and the challenges that AI poses for private law. This Handbook brings together a global team of private law experts and computer scientists to examine issues such as whether existing private law can address the challenges of AI and whether and how private law needs to be reformed to reduce the risks of AI while retaining its benefits.

Join Professor Peter Felten, Elon University, under the Ruth Wong Memorial Lecture on Education 2024 as he delves into what is the future of higher education teaching and learning in a world of generative AI.

The integration of Artificial Intelligence (AI) into higher education represents an unstoppable trend that demands our immediate attention. As educators, we stand at a crossroads: we can either be overtaken by the relentless pace of technological change, or we can seize the initiative and steer the course of educational innovation and transformation. While historically, technology has been viewed as a tool and resource to support educational change, the rapid evolution of AI has outstripped our current practices. This compels us to not only identify meaningful applications for AI in education but also to proactively manage its integration to avoid adverse effects on teaching and learning. Join Prof Qi Gao, School of Automation, Beijing Institute of Technology (BIT). [This event is only open to SoTL-Asia]

This is a workshop for newcomers to Generative AI / Large Language Models. We will first take a look at how these large language model works from a layman point of view. The inner workings of these models will give us an understanding of the abilities and limitations of Generative AI in general. In the second part, we will go through a few hands-on scenarios to understand the affordances of Gen AI in the teaching and learning sphere.

Open to students at institutes of higher learning and alumni as lifelong learners, the opening remarks will present an overview of how AI has evolved and the challenges presented by AI in general and to learners and educators in particular. The key concerns when using AI tools and applications, as well as related issues will be highlighted and discussed in the context of audiences’ living experience.

The AI Sensors 2024 is joint-organized with the 10th International Symposium on Sensor Science (I3S 2024) to provide a dynamic platform that brings together academic leaders, thought leaders, pioneers, engineers, students, and visionaries in the multidisciplinary field of AI Sensors. Our mission is to explore cutting-edge advancements, share groundbreaking research, and foster collaboration that will shape the future of sensing technology across various industries.

This panel session confronts the urgent realities of a workforce revolutionized by artificial intelligence. As AI technologies reshape job markets, automate professional tasks, and create novel career pathways, they also bring about significant disruptions. This discussion will navigate the dual aspects of AI: the threat of obsolescence and the promise of innovation. Panel experts will dissect the impact of AI across different sectors, identify the critical skills necessary for survival, and propose strategies for individuals and organizations to thrive. This talk is a must-attend for anyone concerned with the future of work, offering vital insights into making AI a tool for success rather than a harbinger of obsolescence.

Unlock the power of Artificial Intelligence (AI) and its impact on various industries. Hear from Keynote speaker James Landay of Stanford University's Institute for Human-centered AI and join panel discussions featuring senior leaders from Microsoft, GovTech, Visa, AI Singapore and more.

Happening from 23 - 24 Jul 2024, the conference will provide participants with the opportunity to engage with world leaders, fostering a global dialogue on the future of scientific discovery. Interactive sessions will facilitate deep dives into current advancements, potential high-impact targets, and the roadmap for AI in science.

How will Artificial Intelligence (AI) technologies mature? Will they empower our daily lives, or will they replace our jobs? And will they be able to help humanity solve our most pressing challenges in healthcare, climate change and beyond? Join the NUS Giving Experience event to learn more.