We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
When data generate populations.
- Authors
Chiolero, Arnaud; Carmeli, Cristian
- Abstract
The article discusses the role of epidemiology in addressing the weaknesses of artificial intelligence (AI) and big data. It emphasizes the importance of causal inference thinking and algorithmic fairness in epidemiology. The article highlights the need to clearly define and identify study and target populations to ensure the external validity of study findings. It also discusses the challenges of using big data, such as the rapidly changing nature of the populations generating the data and the biases that can arise from treating big data as a census. The article suggests that epidemiology has tools to address these issues and make big data useful for improving population health.
- Subjects
BIG data; SOCIAL media
- Publication
International Journal of Epidemiology, 2024, Vol 53, Issue 1, p1
- ISSN
0300-5771
- Publication type
Article
- DOI
10.1093/ije/dyad166