2021 CE
Stochastic Parrots questions scaling without evaluation
Artificial intelligence · Bias and society
Emily Bender, Timnit Gebru, Angelina McMillan-Major and Shmargaret Shmitchell examined risks of large language models: environmental costs, data biases and plausible text without grounded meaning. The paper proposed critical criteria for deciding what to build and how to document it; its arguments are an intervention in the debate, not proof that every use lacks value.
Precision, calendar, and review
- Start
- year · no uncertainty qualifier in this record
- Calendar and convention
- Historical-era years; the source calendar is not identified. No conversion of days is assumed.
- Year zero
- The scale goes from 1 BCE to 1 CE without year zero. Changing era names changes labels only.
- Documentary review
- 2026-09-20
Reading the date: point event.
Sources
- 1. faculty.washington.edu (opens in a new tab)
Source provenance and scope
- Publication date
- Not identified in metadata; document review pending
- Bibliographic date checked
- 2026-09-23
- Access date
- 2026-09-20
The correspondence between this reference and individual claims has not yet been itemized.
- 2. courses.cs.washington.edu (opens in a new tab)
Source provenance and scope
- Publication date
- 2021
- What this date describes
- The cited source or edition; it may postdate the historical event.
- Bibliographic date checked
- 2026-09-23
- Access date
- 2026-09-20
The correspondence between this reference and individual claims has not yet been itemized.
This record is an editorial synthesis. Consult the sources to check claims and their limits. Chronological relationships alone do not establish causation.