ArticleNational science review2020
Yi Zeng: promoting good governance of artificial intelligence.
Article in National science review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 8 citations in OpenAlex.
- Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education.Medical education online · 2024Review
- Qualitative and quantitative analyses of artificial intelligence ethics in education using VOSviewer and CitNetExplorer.Frontiers in psychology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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).
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.