IJCAI 2024

The 4th AI for Ageless Aging Workshop (AIAA)

1:00 PM - 5:30 PM, August 4, 2024 (GMT+9)


The International Joint Conference on Artificial Intelligence (IJCAI) is the leading conference in the field of Artificial Intelligence. It covers a broad range of research areas in the field of AI. The conference series has been organized by the nonprofit IJCAI Organization since 1969, making it the oldest premier AI conference series which gathers researchers of AI all around the world.


The number of people in the world aged 65 or over will more than double to reach 1.5 billion by 2050, according to the United Nations. The rapid aging of the global population has brought unprecedented economic and cultural challenges to individuals, families, society, as well as the international community. To alleviate the challenges of an aging society, the elderly population requires support in active lifestyles, balanced nutrition, and healthcare services. Furthermore, healthy and thriving elderly can contribute significantly to society.

As a seismic force shaping the 21st century, artificial intelligence (AI) algorithms in the field of aging research have made great progress and offer exciting future opportunities. Many aspects of aging have been impacted by innovative hardware, software, and sensor applications and emerging algorithms in the field of AI, including healthcare services, disease management and prediction, and longevity medicine development. Interdisciplinary research and the application of AI technologies in the field of frailty can help assess the potential risk of frailty and pre-frailty in home and community environments instead of relying on clinical settings alone. AI technologies can also offer potential solutions to improve efforts at the identification and intervention of age-related diseases, such as strokes, Alzheimer’s Disease, dementia, Parkinson’s Disease, etc. By employing AI technologies, intervention plans, such as for physical exercise, nutrition, and polypharmacy management, can be customized, adaptable, and personalized, maximizing the effectiveness of the intervention. In addition, AI-based biomarkers of aging can present a holistic view of biological processes, pinpoint the most critical features, and identify biological targets and mechanisms based on causal models. Nonetheless, opportunities offered by these emerging technologies raise ethical concerns that must be addressed in order to ensure that these automated systems can truly benefit older adults.

The new era of ageless aging is data-driven and AI-enabled. This timely workshop on “AI for Ageless Aging” aims to bring together researchers, medical practitioners, representatives of various beneficiaries, relevant industry stakeholders, potential investors, and others to discuss how AI technologies can be used to enable older people to lead active, independent, and dignified lifestyles.

Invited Talks



Time (GMT+8) Speaker Title Record
9:00 AM - 9:05 AM Opening Remarks
Invited Talk
9:05 AM - 9:45 AM TBD TBD
Research Paper Presentations
9:45 AM - 10:00 AM TBD TBD
10:00 AM - 10:15 AM TBD TBD
10:15 AM - 10:30 AM TBD TBD
Tea Break
10:30 AM - 11:00 AM - -
Invited Talk
11:00 AM - 11:40 AM TBD TBD
Research Paper Presentations
11:40 AM - 11:55 PM TBD TBD
11:55 PM - 12:10 PM TBD TBD
12:10 PM - 12:25 PM TBD TBD
12:25 PM - 12:30 PM Closing

Organizing Committee

Chunyan Miao
Nanyang Technological University, Singapore
Cyril Leung
The University of British Columbia, Canada
Bei Li
Alibaba, China
Chengqi Zhang
University of Technology Sydney, Australia

Program Committee

Takayuki Ito
Kyoto University, Japan
Cuntai Guan
Nanyang Technological University, Singapore
Lizhen Cui
Shandong Unviersity, China
Lim Wee Shiong
Tan Tock Seng Hospital, Singapore
Martin J. McKeown
The University of British Columbia, Canada
Yiqiang Chen
Chinese Academy of Sciences, China
Ishida Toru
Kyoto University, Japan
Di Wang
Nanyang Technological University, Singapore
Hong Xu
Nanyang Technological University, Singapore
Huanhuan Chen
University of Science and Technology of China, China
Tao Wang
Peking University, China
Xiaoxiao Li
The University of British Columbia, Canada
Zhiwei Zeng
Nanyang Technological University, Singapore
Xuejiao Zhao
Nanyang Technological University, Singapore
Haocong Rao
Nanyang Technological University, Singapore

Organized By

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