AI tools accelerating One Health advancement: insights from the Global Public Health Week 2025 Webinar

Jingshu Liu; Shenning Lu; Jiming Liu; Huaiyu Tian; Md Tanvir Rahman; Issam Bennis; Somphou Sayasone; Daniela Polessa; Khaja Mohteshamuddin; Quanle Li; Heya Yi; Mayumi Wakimoto; Arve Lee Willingham; Raman Bedi; Xiao Nong Zhou

doi:10.1016/j.soh.2025.100127

AI tools accelerating One Health advancement: insights from the Global Public Health Week 2025 Webinar

Jingshu Liu
, Shenning Lu
, Jiming Liu
, Huaiyu Tian
, Md Tanvir Rahman
, Issam Bennis
, Somphou Sayasone
, Daniela Polessa
, Khaja Mohteshamuddin
, Quanle Li
, Heya Yi
, Mayumi Wakimoto
, Arve Lee Willingham
, Raman Bedi
, Xiao Nong Zhou

United Arab Emirates University

Shanghai Jiao Tong University
Chinese Center for Disease Control and Prevention
Hong Kong Baptist University
Beijing Normal University
University of Oxford
Bangladesh Agricultural University
Mohammed VI University of Sciences and Health
Ministry of Health
University of Rio de Janeiro
Chinese Preventive Medicine Association
Fundação Oswaldo Cruz
United Arab Emirates University
King's College London
World Federation of Public Health Associations
Hainan Center for Tropical Diseases Research (Hainan Sub-Center of Chinese Center for Tropical Diseases Research)

Research output: Contribution to journal › Comment/debate

Abstract

This commentary emerges from a webinar titled “AI Tools Accelerating One Health Advancement for a Public Health Perspective,” held on World Health Day 2025. The event convened global experts to explore how artificial intelligence (AI) reshapes One Health initiatives. Key discussions addressed AI applications in data integration, risk assessment, and real-time public health responses. Major outcomes included strategies for incorporating AI into public health research, fostering multi-sectoral partnerships, addressing ethical and privacy concerns, and improving AI literacy. This commentary proposes six core recommendations: (1) establish robust governance frameworks; (2) develop a global AI ethics charter; (3) mandate transparency in training data and algorithms; (4) expand open-data access and AI literacy programs; (5) create interdisciplinary One Health innovation hubs; and (6) ensure AI solutions are both cutting-edge and equitable. These proposals aim to guide responsible and inclusive AI implementation to safeguard human, animal, and environmental health.

Original language	English
Journal	Science in One Health
Volume	4
DOIs	https://doi.org/10.1016/j.soh.2025.100127
State	Published - Jan 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Artificial intelligence
Capacity building
Data integration
Ethics
Governance
One Health
Public health
Risk assessment

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10.1016/j.soh.2025.100127

Cite this

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title = "AI tools accelerating One Health advancement: insights from the Global Public Health Week 2025 Webinar",

abstract = "This commentary emerges from a webinar titled “AI Tools Accelerating One Health Advancement for a Public Health Perspective,” held on World Health Day 2025. The event convened global experts to explore how artificial intelligence (AI) reshapes One Health initiatives. Key discussions addressed AI applications in data integration, risk assessment, and real-time public health responses. Major outcomes included strategies for incorporating AI into public health research, fostering multi-sectoral partnerships, addressing ethical and privacy concerns, and improving AI literacy. This commentary proposes six core recommendations: (1) establish robust governance frameworks; (2) develop a global AI ethics charter; (3) mandate transparency in training data and algorithms; (4) expand open-data access and AI literacy programs; (5) create interdisciplinary One Health innovation hubs; and (6) ensure AI solutions are both cutting-edge and equitable. These proposals aim to guide responsible and inclusive AI implementation to safeguard human, animal, and environmental health.",

keywords = "Artificial intelligence, Capacity building, Data integration, Ethics, Governance, One Health, Public health, Risk assessment",

author = "Jingshu Liu and Shenning Lu and Jiming Liu and Huaiyu Tian and Rahman, \{Md Tanvir\} and Issam Bennis and Somphou Sayasone and Daniela Polessa and Khaja Mohteshamuddin and Quanle Li and Heya Yi and Mayumi Wakimoto and \{Lee Willingham\}, Arve and Raman Bedi and Zhou, \{Xiao Nong\}",

note = "Publisher Copyright: {\textcopyright} 2025 The Author(s). Published by Elsevier B.V. on behalf of Shanghai Jiao Tong University. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/",

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doi = "10.1016/j.soh.2025.100127",

language = "English",

volume = "4",

journal = "Science in One Health",

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T2 - insights from the Global Public Health Week 2025 Webinar

AU - Liu, Jingshu

AU - Lu, Shenning

AU - Liu, Jiming

AU - Tian, Huaiyu

AU - Rahman, Md Tanvir

AU - Bennis, Issam

AU - Sayasone, Somphou

AU - Polessa, Daniela

AU - Mohteshamuddin, Khaja

AU - Li, Quanle

AU - Yi, Heya

AU - Wakimoto, Mayumi

AU - Lee Willingham, Arve

AU - Bedi, Raman

AU - Zhou, Xiao Nong

N1 - Publisher Copyright: © 2025 The Author(s). Published by Elsevier B.V. on behalf of Shanghai Jiao Tong University. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2025/1

Y1 - 2025/1

N2 - This commentary emerges from a webinar titled “AI Tools Accelerating One Health Advancement for a Public Health Perspective,” held on World Health Day 2025. The event convened global experts to explore how artificial intelligence (AI) reshapes One Health initiatives. Key discussions addressed AI applications in data integration, risk assessment, and real-time public health responses. Major outcomes included strategies for incorporating AI into public health research, fostering multi-sectoral partnerships, addressing ethical and privacy concerns, and improving AI literacy. This commentary proposes six core recommendations: (1) establish robust governance frameworks; (2) develop a global AI ethics charter; (3) mandate transparency in training data and algorithms; (4) expand open-data access and AI literacy programs; (5) create interdisciplinary One Health innovation hubs; and (6) ensure AI solutions are both cutting-edge and equitable. These proposals aim to guide responsible and inclusive AI implementation to safeguard human, animal, and environmental health.

AB - This commentary emerges from a webinar titled “AI Tools Accelerating One Health Advancement for a Public Health Perspective,” held on World Health Day 2025. The event convened global experts to explore how artificial intelligence (AI) reshapes One Health initiatives. Key discussions addressed AI applications in data integration, risk assessment, and real-time public health responses. Major outcomes included strategies for incorporating AI into public health research, fostering multi-sectoral partnerships, addressing ethical and privacy concerns, and improving AI literacy. This commentary proposes six core recommendations: (1) establish robust governance frameworks; (2) develop a global AI ethics charter; (3) mandate transparency in training data and algorithms; (4) expand open-data access and AI literacy programs; (5) create interdisciplinary One Health innovation hubs; and (6) ensure AI solutions are both cutting-edge and equitable. These proposals aim to guide responsible and inclusive AI implementation to safeguard human, animal, and environmental health.

KW - Artificial intelligence

KW - Capacity building

KW - Data integration

KW - Ethics

KW - Governance

KW - One Health

KW - Public health

KW - Risk assessment

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DO - 10.1016/j.soh.2025.100127

M3 - Comment/debate

AN - SCOPUS:105021061542

SN - 2949-7043

VL - 4

JO - Science in One Health

JF - Science in One Health

ER -

AI tools accelerating One Health advancement: insights from the Global Public Health Week 2025 Webinar

Abstract

UN SDGs

Keywords

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