Special Days

The Web Conference 2024 features three thematic special days: Online Trust & Safety Day, Large Language Model Day, and Health Day.

Online Trust & Safety Day

Date: May 13, 2024

Program (tentative):

0900 - 0915Welcome Message by Roy Ka-Wei Lee (CATOS Adjunct Senior Scientist and Assistant Professor, Singapore University of Technology and Design)
0915 - 0930Address by See Kiong Ng (Director, AI Technology - AI Singapore)
0930 - 1030Keynote
1030 - 1100Coffee Break
1100 - 1230Invited Presentations
1230 - 1330Lunch
1330 - 1400Online Safety Prize Challenge - Welcome Brief
1400 - 1515Online Safety Prize Challenge - Finalist Presentations
1515 - 1530Coffee Break
1545 - 1615Online Safety Prize Challenge - Award Ceremony
1615 - 1630Closing Remarks

Organizing Chairs:

Large Language Model Day

Date: May 14, 2024

Large Language Models (LLMs), such as ChatGPT, Gemini, GLM-4, have revolutionized the field of AI with their remarkable capabilities in natural language understanding and generation. LLMs are widely used in various applications such as voice assistants, recommender systems, content-generation models like ChatGPT, and text-to-image models like Dall-E. However, these powerful models also pose significant challenges for their safe and ethical deployment. How can we ensure that LLMs are fair, safe, privacy-preserving, explainable, and controllable?

We are pleased to announce that, for the first time at The Web Conference, we are organizing a dedicated full-day event---the "Large Language Model Day (LLM Day)." This event aims to provide a platform for academic researchers and industry practitioners to discuss the latest advances and open problems in the field of large language models (LLMs). The event will focus on two main themes:

Recent Progress of Foundational LLMs: This theme will highlight the latest advancements in foundational LLMs and their applications across different domains. It will provide attendees with insights into the cutting-edge developments and potential applications of LLMs.

Building Trustworthy LLMs: This theme will address the open issues and challenges associated with building trustworthy LLMs. Topics of discussion will include fairness, safety, privacy preservation, explainability, and controllability. By tackling these challenges, we aim to ensure that LLMs are developed and deployed in an ethical and responsible manner.

During the Large Language Model Day, we are excited to host a diverse range of renowned invited speakers from world-class research institutions. These experts will share their knowledge and perspectives, fostering interdisciplinary collaboration and promoting the exchange of ideas among participants. Our goal is to contribute to the development and use of LLMs that not only push the boundaries of AI but also benefit humanity as a whole.

Join us at TheWebConf 2024 for this special day dedicated to exploring the vast potential and challenges of large language models. Together, we can shape the future of AI and ensure its responsible and impactful deployment.

Organizing Chair:

Health Day

Date: May 14, 2024

The emergence of novel Artificial Intelligence (AI) and Machine Learning (ML) technologies is poised to significantly transform clinical care practices. These advancements are opening new avenues in healthcare delivery and medical research, ultimately enhancing patient outcomes. AI and ML have already demonstrated substantial potential in catalyzing the digital health revolution. This includes early prediction of disease risks, improved forecasting of patient prognosis, and the development of personalized treatment plans to optimize healthcare delivery. Significant achievements have been made in the application of computer vision models for medical imaging, illustrating the robust capabilities of these technologies. Additionally, the use of reinforcement learning models for intervention recommendations presents promising opportunities for further innovation. Moreover, the rapid evolution of Large Language Models (LLMs) has sparked extensive discussions about their potential to reimagine various healthcare practices. This underscores the pivotal role of AI and ML in shaping the future of healthcare, offering a glimpse into a more efficient and effective medical landscape.

The Health Day is a forum to foster interactions among researchers and practitioners in the Healthcare AI and ML field by allowing them to present their new and innovative work. In addition, the track will enable conference attendees to learn novel ongoing research projects through informal interactions.


0900 - 0915Opening Address by Organising Chairs
0915 - 1000Opening Keynote: Stories Over Snapshots: Optimising Health with Digital Platforms by Prof Dean Ho (Director of N.1 Institute, National University of Singapore)
1000 - 1030Keynote: Unleashing the power of AI for Health: the vital role of physiological data by Prof Xiao Hu (Professor and Asa Griggs Candler Chair of Nursing Data Science, Emory University)
1030 - 1100Coffee Break
1100 - 1230Oral Presentation Session #1
1230 - 1330Lunch Break
1330 - 1430Afternoon Opening Keynote: Generative AI for Healthcare by Prof Kee Yuan Ngiam (Group Chief Technology Officer, National University Health System)
1500 - 1530Keynote: AI-ECG: Datasets, Methods, Wearable Devices and Clinical Applications by Prof Shengda Hong (National Institute of Health Data Science, Peking University)
1530 - 1645Oral Presentation Session #2
1645 - 1700Closing Remarks

Organizing Chairs: