Misunderstandings Regarding Sampling and the Role of Statistics in AI
Efforts in Artificial Intelligence (AI) to mimic human thinking often seem unbound. Therefore, creating proper guardrails in this context is the responsibility of the collective scientific community. Missteps in this process are inevitable. This Viewpoint is intended to correct two such missteps regarding the use of basic statistical methods and the role of statistics in AI. The criticality of statistics in the scientific enterprise encourages us to get it right.
Authors
- George Rodríguez (ORCID: https://orcid.org/0000-0001-8884-5101)
Institutions
- ExxonMobil (United States) (US)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1021/acs.jcim.4c01665
- Primary Topic
- Machine Learning and Data Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00