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^*

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to journal › Journal article › peer-review

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
Article number	100127
Number of pages	4
Journal	Science in One Health
Volume	4
Early online date	10 Oct 2025
DOIs	https://doi.org/10.1016/j.soh.2025.100127
Publication status	Published - 24 Oct 2025

User-Defined Keywords

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

UN SDGs

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

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10.1016/j.soh.2025.100127Licence: CC BY-NC-ND

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Liu, J., Lu, S., Liu, J., Tian, H., Rahman, M. T., Bennis, I., Sayasone, S., Polessa, D., Mohteshamuddin, K., Li, Q., Yi, H., Wakimoto, M., Lee Willingham, A., Bedi, R., & Zhou, X. N. (2025). AI tools accelerating One Health advancement: insights from the Global Public Health Week 2025 Webinar. Science in One Health, 4, Article 100127. https://doi.org/10.1016/j.soh.2025.100127

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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.",

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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 - 2025/10/24

Y1 - 2025/10/24

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.

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KW - Governance

KW - One Health

KW - Public health

KW - Risk assessment

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

Abstract

User-Defined Keywords

UN SDGs

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