Yi Zeng: promoting good governance of artificial intelligence
Open accessAbstract
Artificial intelligence (AI) has developed quickly in recent years, with applications expanding from automatic driving and smart manufacturing to personal healthcare and algorithm-based social media utilization. During the COVID-19 pandemic, AI has played an essential role in identifying suspected infections, ensuring epidemic surveillance and quickening drug screening. However, many questions accompanied AI’s development. How to protect citizens’ privacy and national information security? What measures can help AI learn and practice good human behaviors and avoid unethical use of AI technologies? To answer these questions, Nation Science Review (NSR) interviewed Yi Zeng, Professor and Deputy Director at the Research Center for Brain-inspired Artificial Intelligence at the Institute of Automation, Chinese Academy of Sciences (CAS). He is a board member for the National Governance Committee of Next-Generation Artificial Intelligence affiliated to the Ministry of Science and Technology of China (MOST). Zeng is also in AI ethics expert groups at the World Health Organization and the United Nations Educational, Scientific, and Cultural Organization (UNESCO). He jointly led the drafting of Beijing AI Principles (2019) and the National Governance Principles of New Generation AI of China (GPNGAI, 2019).
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Regular collaboration with ethical oversight bodies ensures that any emerging ethical concerns are identified and addressed promptly.
“Regular collaboration with these ethical oversight bodies ensures that any emerging ethical concerns are identified and addressed promptly [60].”
From Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education (2024) · cites this paper as [60]
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Taddeo, M., & Floridi, L. (2018) · Science · doi:10.1126/science.aat5991 · Cited by 760 · see citing works
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Zhang, K., Schölkopf, B., Spirtes, P., & Glymour, C. (2017) · National Science Review · doi:10.1093/nsr/nwx137 · Cited by 67 · see citing works
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Franco D’Souza, R., Mathew, M., Mishra, V., & Surapaneni, K. M. (2024) · Medical Education Online · doi:10.1080/10872981.2024.2330250 · Cited by 147 · see citing works
- Authors
- Jia, H.
- Affiliations
- Soochow University (CN)
- Corresponding author
- Jia, Hepeng
- ORCID
- Jia, Hepeng
- Venue
- National Science Review
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-10-24
- Volume
- 7
- Issue
- 12
- Pages
- 1954-1956
- ISSN
- 2053-714X (ISSN-L)
- 2095-5138
- PMC
- PMC7665600
- OpenAlex
- W3093953666
- Cited by
- 9
- References
- 4
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 1
- FWCI
- 1.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- National Science Review (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- AI governance, AI ethics, privacy preservation, national information security, ethical use of AI, COVID-19 pandemic, brain-inspired artificial intelligence
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